Triple
T989219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eugene, Oregon |
E21348
|
entity |
| Predicate | airportIATA |
P418
|
FINISHED |
| Object |
EUG
EUG is the IATA airport code for Mahlon Sweet Field, the primary commercial airport serving Eugene and the surrounding region in western Oregon, United States.
|
E117602
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: EUG | Statement: [Eugene, Oregon, airportIATA, EUG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EUG Context triple: [Eugene, Oregon, airportIATA, EUG]
-
A.
Europaeum
Europaeum is a network of leading European universities dedicated to promoting academic collaboration, European studies, and cross-border dialogue in higher education.
-
B.
EUCO
EUCO is the commonly used abbreviation for the European Council, the institution that defines the European Union’s overall political direction and priorities.
-
C.
Euro
The Euro is the official common currency used by many countries in the European Union, facilitating trade and travel across much of Europe.
-
D.
UNA Europa
UNA Europa is a European university alliance that brings together leading research-intensive universities to foster transnational collaboration in education, research, and innovation.
-
E.
Europol
Europol is the European Union’s law enforcement agency that supports member states in combating serious international crime and terrorism.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: EUG Triple: [Eugene, Oregon, airportIATA, EUG]
Generated description
EUG is the IATA airport code for Mahlon Sweet Field, the primary commercial airport serving Eugene and the surrounding region in western Oregon, United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EUG Target entity description: EUG is the IATA airport code for Mahlon Sweet Field, the primary commercial airport serving Eugene and the surrounding region in western Oregon, United States.
-
A.
Europaeum
Europaeum is a network of leading European universities dedicated to promoting academic collaboration, European studies, and cross-border dialogue in higher education.
-
B.
EUCO
EUCO is the commonly used abbreviation for the European Council, the institution that defines the European Union’s overall political direction and priorities.
-
C.
Euro
The Euro is the official common currency used by many countries in the European Union, facilitating trade and travel across much of Europe.
-
D.
UNA Europa
UNA Europa is a European university alliance that brings together leading research-intensive universities to foster transnational collaboration in education, research, and innovation.
-
E.
Europol
Europol is the European Union’s law enforcement agency that supports member states in combating serious international crime and terrorism.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a493c383dc8190a03257f22d4b4183 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4aa16f081909dcc7a7ce3fb1b64 |
completed | March 1, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac258d9f4c8190b285455410b30575 |
completed | March 7, 2026, 1:18 p.m. |
| NEDg | Description generation | batch_69ac267e4fa08190895fa6809d0decb8 |
completed | March 7, 2026, 1:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac271c8ad081909c1f1629e0793c40 |
completed | March 7, 2026, 1:24 p.m. |
Created at: March 1, 2026, 7:41 p.m.