Triple

T9642640
Position Surface form Disambiguated ID Type / Status
Subject Max Westheimer Airport E233111 entity
Predicate FAAcode P420 FINISHED
Object OUN
OUN is the FAA airport code for Max Westheimer Airport, a public airport serving Norman, Oklahoma.
 E754008 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: OUN | Statement: [Max Westheimer Airport, FAAcode, OUN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OUN
Context triple: [Max Westheimer Airport, FAAcode, OUN]
  • A. OUN
    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. 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: OUN
Triple: [Max Westheimer Airport, FAAcode, OUN]
Generated description
OUN is the FAA airport code for Max Westheimer Airport, a public airport serving Norman, Oklahoma.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OUN
Target entity description: OUN is the FAA airport code for Max Westheimer Airport, a public airport serving Norman, Oklahoma.
  • 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.

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_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_69d18a00a87081909d1e59aa7192a69c completed April 4, 2026, 10 p.m.
NEDg Description generation batch_69d18ab1239c8190b4a66ccd0db35ffb completed April 4, 2026, 10:03 p.m.
NED2 Entity disambiguation (via description) batch_69d18b7f7510819083a402d6802c7d95 completed April 4, 2026, 10:06 p.m.
Created at: March 30, 2026, 8:12 p.m.