Triple
T9642638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Westheimer Airport |
E233111
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object | OUN |
E754008
|
NE FINISHED |
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: OUN | Statement: [Max Westheimer Airport, IATAcode, OUN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OUN Context triple: [Max Westheimer Airport, IATAcode, OUN]
-
A.
OUN
chosen
OUN is the National Weather Service forecast office identifier for the Norman, Oklahoma weather forecast and warning center.
-
B.
OU
OU is a major public research university located in Norman, Oklahoma, known for its strong academic programs and prominent athletics, especially college football.
-
C.
OU
OU is the IATA airline designator assigned to Croatia Airlines, the national flag carrier of Croatia.
-
D.
OU
OU is the commonly used abbreviation for the University of Ostrava, a public university located in Ostrava, Czech Republic.
-
E.
OUN-B
OUN-B was the radical, Bandera-led faction of the Organization of Ukrainian Nationalists that provided the ideological and political leadership behind Ukrainian nationalist resistance during World War II.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca848a5a908190aad251f4137b0c3a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b7cda388190a38f96d78085f404 |
completed | April 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18252c1cc81908d33c9c55d645fbf |
completed | April 4, 2026, 9:27 p.m. |
Created at: March 30, 2026, 8:12 p.m.