Triple
T6148228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinggis Khaan International Airport |
E137132
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
UBN
UBN is the IATA airport code for the new Chinggis Khaan International Airport serving Ulaanbaatar, Mongolia.
|
E572246
|
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: UBN | Statement: [Chinggis Khaan International Airport, IATAcode, UBN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UBN Context triple: [Chinggis Khaan International Airport, IATAcode, UBN]
-
A.
UB
UB was the common abbreviation for the Urząd Bezpieczeństwa, the communist-era Polish secret police and security service notorious for political repression after World War II.
-
B.
UB
UB is the commonly used abbreviation for the University of Barcelona, a major public research university located in Barcelona, Spain.
-
C.
UB
UB is a postcode area in the United Kingdom covering parts of west London and nearby areas.
-
D.
UUBW
UUBW is the ICAO airport code for Zhukovsky International Airport, a major passenger and cargo airport serving the Moscow region in Russia.
-
E.
UNU
UNU is the United Nations University, a global think tank and postgraduate teaching organization of the UN system focused on research and capacity-building for sustainable development and peace.
- 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: UBN Triple: [Chinggis Khaan International Airport, IATAcode, UBN]
Generated description
UBN is the IATA airport code for the new Chinggis Khaan International Airport serving Ulaanbaatar, Mongolia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UBN Target entity description: UBN is the IATA airport code for the new Chinggis Khaan International Airport serving Ulaanbaatar, Mongolia.
-
A.
UB
UB was the common abbreviation for the Urząd Bezpieczeństwa, the communist-era Polish secret police and security service notorious for political repression after World War II.
-
B.
UB
UB is a postcode area in the United Kingdom covering parts of west London and nearby areas.
-
C.
UB
UB is the commonly used abbreviation for the University of Barcelona, a major public research university located in Barcelona, Spain.
-
D.
UUBW
UUBW is the ICAO airport code for Zhukovsky International Airport, a major passenger and cargo airport serving the Moscow region in Russia.
-
E.
UNU
UNU is the United Nations University, a global think tank and postgraduate teaching organization of the UN system focused on research and capacity-building for sustainable development and peace.
- 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_69c008a2c6308190a56519b22d55d083 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05ce07fb081909278088e9e2e2959 |
completed | March 22, 2026, 9:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c13603730881909b3991c7262509b5 |
completed | March 23, 2026, 12:45 p.m. |
| NEDg | Description generation | batch_69c139f6f11c81909eb0b2ab809de079 |
completed | March 23, 2026, 1:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c13a5f53ec8190be24f37fc5fb7f32 |
completed | March 23, 2026, 1:04 p.m. |
Created at: March 22, 2026, 4:16 p.m.