Triple

T15690464
Position Surface form Disambiguated ID Type / Status
Subject 52nd Fighter Wing E380313 entity
Predicate nickname P55 FINISHED
Object 52 FW
52 FW is a United States Air Force fighter wing based at Spangdahlem Air Base in Germany, known for its role in NATO air defense and combat operations.
 E1170725 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: 52 FW | Statement: [52nd Fighter Wing, nickname, 52 FW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 52 FW
Context triple: [52nd Fighter Wing, nickname, 52 FW]
  • A. 325 FW
    325 FW is a United States Air Force fighter wing known for training and operating combat-ready F-22 Raptor pilots and support personnel.
  • B. S52
    S52 is a bus service route that provides public transportation access to the village of Grasmere.
  • C. FZ
    FZ is the vehicle registration code assigned to cars registered in the city of Zielona Góra in western Poland.
  • D. FZ
    FZ is the IATA airline designator assigned to flydubai, the low-cost carrier based in Dubai, United Arab Emirates.
  • E. E52
    E52 is a Nokia Eseries mobile phone model known for its slim design, long battery life, and business-oriented features.
  • 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: 52 FW
Triple: [52nd Fighter Wing, nickname, 52 FW]
Generated description
52 FW is a United States Air Force fighter wing based at Spangdahlem Air Base in Germany, known for its role in NATO air defense and combat operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 52 FW
Target entity description: 52 FW is a United States Air Force fighter wing based at Spangdahlem Air Base in Germany, known for its role in NATO air defense and combat operations.
  • A. 325 FW
    325 FW is a United States Air Force fighter wing known for training and operating combat-ready F-22 Raptor pilots and support personnel.
  • B. S52
    S52 is a bus service route that provides public transportation access to the village of Grasmere.
  • C. FZ
    FZ is the vehicle registration code assigned to cars registered in the city of Zielona Góra in western Poland.
  • D. FZ
    FZ is the IATA airline designator assigned to flydubai, the low-cost carrier based in Dubai, United Arab Emirates.
  • E. E52
    E52 is a Nokia Eseries mobile phone model known for its slim design, long battery life, and business-oriented features.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f4e59988190aaf12f6a07c8f0e4 completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6eebaccc8190a61fb2f9b9bdbcc1 completed May 9, 2026, 5:29 p.m.
NEDg Description generation batch_69ff6fb61144819085460226d406161d completed May 9, 2026, 5:32 p.m.
NED2 Entity disambiguation (via description) batch_69ff705b1ea08190bf08b99c19715e57 completed May 9, 2026, 5:35 p.m.
Created at: April 10, 2026, 4:44 a.m.