Triple
T10882481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arkhangelsk Talagi Airport |
E256958
|
entity |
| Predicate | hasIATAcode |
P2569
|
FINISHED |
| Object |
ARH
ARH is the IATA airport code for Arkhangelsk Talagi Airport, a regional airport serving the city of Arkhangelsk in northwestern Russia.
|
E890483
|
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: ARH | Statement: [Arkhangelsk Talagi Airport, hasIATAcode, ARH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ARH Context triple: [Arkhangelsk Talagi Airport, hasIATAcode, ARH]
-
A.
ARL
ARL (Australian Rugby League) was the top-level rugby league competition in Australia during the mid-1990s, preceding the formation of the National Rugby League (NRL).
-
B.
AH
AH is a German vehicle registration code associated with the town of Alstätte.
-
C.
AHT
AHT is the IATA airport code for the airport serving Anholt, a small Danish island in the Kattegat Sea.
-
D.
AHS
AHS is the College of Applied Health Sciences at the University of Illinois Urbana–Champaign, focusing on education and research in health, rehabilitation, and human performance.
-
E.
AHS
AHS is a public high school in Tinley Park, Illinois, known for its strong academic programs and diverse extracurricular offerings.
- 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: ARH Triple: [Arkhangelsk Talagi Airport, hasIATAcode, ARH]
Generated description
ARH is the IATA airport code for Arkhangelsk Talagi Airport, a regional airport serving the city of Arkhangelsk in northwestern Russia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ARH Target entity description: ARH is the IATA airport code for Arkhangelsk Talagi Airport, a regional airport serving the city of Arkhangelsk in northwestern Russia.
-
A.
ARL
ARL (Australian Rugby League) was the top-level rugby league competition in Australia during the mid-1990s, preceding the formation of the National Rugby League (NRL).
-
B.
AH
AH is a German vehicle registration code associated with the town of Alstätte.
-
C.
AHT
AHT is the IATA airport code for the airport serving Anholt, a small Danish island in the Kattegat Sea.
-
D.
AHS
AHS is the College of Applied Health Sciences at the University of Illinois Urbana–Champaign, focusing on education and research in health, rehabilitation, and human performance.
-
E.
AHS
AHS is a public high school in Tinley Park, Illinois, known for its strong academic programs and diverse extracurricular offerings.
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751db24208190b3a7ed7eea118522 |
completed | April 9, 2026, 7:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7e479cc81909fb8510364d6fc0e |
completed | April 15, 2026, 8:41 p.m. |
| NEDg | Description generation | batch_69e002709d38819099c4402d30824612 |
completed | April 15, 2026, 9:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e005873ba48190b8c24c77611562fa |
completed | April 15, 2026, 9:39 p.m. |
Created at: April 8, 2026, 9:21 p.m.