Triple

T12665916
Position Surface form Disambiguated ID Type / Status
Subject Forces Armées Zaïroises E302552 entity
Predicate shortName P43 FINISHED
Object FAZ
FAZ was the national military of Zaire under Mobutu Sese Seko, known for its role in internal repression, corruption, and poor combat effectiveness.
 E996513 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: FAZ | Statement: [Forces Armées Zaïroises, shortName, FAZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FAZ
Context triple: [Forces Armées Zaïroises, shortName, FAZ]
  • A. FAJ
    FAJ is the commonly used abbreviation for the Cariduros de Fajardo, a professional basketball team based in Fajardo, Puerto Rico.
  • B. FZ
    FZ is the IATA airline designator assigned to flydubai, the low-cost carrier based in Dubai, United Arab Emirates.
  • C. FZ
    FZ is the vehicle registration code assigned to cars registered in the city of Zielona Góra in western Poland.
  • D. FAY
    FAY is the three-letter FAA airport code for Fayetteville Regional Airport serving Fayetteville, North Carolina.
  • E. Fazy
    Fazy is a Swiss surname most notably borne by James Fazy, a 19th-century politician from Geneva.
  • 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: FAZ
Triple: [Forces Armées Zaïroises, shortName, FAZ]
Generated description
FAZ was the national military of Zaire under Mobutu Sese Seko, known for its role in internal repression, corruption, and poor combat effectiveness.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FAZ
Target entity description: FAZ was the national military of Zaire under Mobutu Sese Seko, known for its role in internal repression, corruption, and poor combat effectiveness.
  • A. FAJ
    FAJ is the commonly used abbreviation for the Cariduros de Fajardo, a professional basketball team based in Fajardo, Puerto Rico.
  • B. FZ
    FZ is the vehicle registration code assigned to cars registered in the city of Zielona Góra in western Poland.
  • C. FZ
    FZ is the IATA airline designator assigned to flydubai, the low-cost carrier based in Dubai, United Arab Emirates.
  • D. FAY
    FAY is the three-letter FAA airport code for Fayetteville Regional Airport serving Fayetteville, North Carolina.
  • E. Fazy
    Fazy is a Swiss surname most notably borne by James Fazy, a 19th-century politician from Geneva.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9617e030881908444743b8a7e0d75 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6688a19148190b8d252d3706d2b05 completed May 2, 2026, 9:11 p.m.
NEDg Description generation batch_69f669f69fe4819097dfc63780e8587e completed May 2, 2026, 9:17 p.m.
NED2 Entity disambiguation (via description) batch_69f66b619c88819098acbfb60fac9921 completed May 2, 2026, 9:23 p.m.
Created at: April 9, 2026, 5:19 p.m.