Triple
T20568181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terminal 2 (Cancún International Airport) |
E505017
|
entity |
| Predicate | IATAAirportCodeOfParent |
P2569
|
FINISHED |
| Object | CUN |
—
|
NE NERFINISHED |
How this triple was built (2 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: CUN | Statement: [Terminal 2 (Cancún International Airport), IATAAirportCodeOfParent, CUN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CUN Context triple: [Terminal 2 (Cancún International Airport), IATAAirportCodeOfParent, CUN]
-
A.
CUN
chosen
CUN is the IATA airport code for Cancún International Airport, a major gateway for international tourism to Mexico’s Caribbean coast.
-
B.
CNU
CNU is a professional organization that promotes walkable, mixed-use neighborhood development and sustainable urban design principles.
-
C.
CNU
CNU is a major national research university located in Daejeon, South Korea, known for its comprehensive academic programs and strong emphasis on science and technology.
-
D.
CNU
CNU is the commonly used abbreviation for Chonnam National University, a major national research university in Gwangju, South Korea.
-
E.
CNU
CNU is a public liberal arts university located in Newport News, Virginia, known for its strong undergraduate programs and emphasis on leadership and civic engagement.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a7a3fdc08190a34dcf4c4e51f078 |
completed | April 20, 2026, 10:24 p.m. |
Created at: April 16, 2026, 11:39 a.m.