Triple

T15662252
Position Surface form Disambiguated ID Type / Status
Subject Federal Office of Civil Aviation E376594 entity
Predicate shortName P43 FINISHED
Object FOCA
FOCA is the Swiss Federal Office of Civil Aviation, the national authority responsible for regulating and overseeing civil aviation in Switzerland.
E1169756 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: FOCA | Statement: [Federal Office of Civil Aviation, shortName, FOCA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FOCA
Context triple: [Federal Office of Civil Aviation, shortName, FOCA]
  • A. FOCAS
    FOCAS is an optical camera and spectrograph instrument used on the Subaru Telescope for detailed imaging and spectroscopic observations of astronomical objects.
  • B. FOC
    FOC is the IATA airport code for Fuzhou Changle International Airport, the main airport serving Fuzhou in Fujian Province, China.
  • C. F.A.C.
    F.A.C. is the standard legal abbreviation used to refer to the Florida Administrative Code, which contains the administrative rules and regulations of the state of Florida.
  • D. FAFC
    FAFC is the common abbreviation for Forfar Athletic Football Club, a Scottish professional football team based in the town of Forfar.
  • E. FOCAL
    FOCAL is an early interactive programming language developed by Digital Equipment Corporation, commonly used on PDP-series minicomputers for scientific and educational purposes.
  • 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: FOCA
Triple: [Federal Office of Civil Aviation, shortName, FOCA]
Generated description
FOCA is the Swiss Federal Office of Civil Aviation, the national authority responsible for regulating and overseeing civil aviation in Switzerland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: FOCA
Target entity description: FOCA is the Swiss Federal Office of Civil Aviation, the national authority responsible for regulating and overseeing civil aviation in Switzerland.
  • A. FOCAS
    FOCAS is an optical camera and spectrograph instrument used on the Subaru Telescope for detailed imaging and spectroscopic observations of astronomical objects.
  • B. FOC
    FOC is the IATA airport code for Fuzhou Changle International Airport, the main airport serving Fuzhou in Fujian Province, China.
  • C. F.A.C.
    F.A.C. is the standard legal abbreviation used to refer to the Florida Administrative Code, which contains the administrative rules and regulations of the state of Florida.
  • D. FAFC
    FAFC is the common abbreviation for Forfar Athletic Football Club, a Scottish professional football team based in the town of Forfar.
  • E. FOCAL
    FOCAL is an early interactive programming language developed by Digital Equipment Corporation, commonly used on PDP-series minicomputers for scientific and educational purposes.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f0e2668819092e52712cddd0721 completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff679e0f2c8190bbcb7051c38e1580 completed May 9, 2026, 4:58 p.m.
NEDg Description generation batch_69ff68cfffd881908576c04e3eeb22a8 completed May 9, 2026, 5:03 p.m.
NED2 Entity disambiguation (via description) batch_69ff69660b6c819082dbdf06db1c8fe3 completed May 9, 2026, 5:05 p.m.
Created at: April 10, 2026, 4:15 a.m.