Triple

T8471681
Position Surface form Disambiguated ID Type / Status
Subject Font Manager E200293 entity
Predicate usesResourceType P3729 FINISHED
Object NFNT
NFNT is a classic Macintosh font resource format used by early Apple operating systems to store and manage bitmap fonts.
 E736588 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: NFNT | Statement: [Font Manager, usesResourceType, NFNT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NFNT
Context triple: [Font Manager, usesResourceType, NFNT]
  • A. NF
    NF was the abbreviation for the National Front of the German Democratic Republic, a political alliance dominated by the ruling Socialist Unity Party that coordinated and controlled all legal political activity in East Germany.
  • B. NTF
    NTF is a high-speed wind tunnel facility operated by NASA for advanced aerodynamic testing at transonic speeds.
  • C. FNT
    FNT is the IATA airport code for Bishop International Airport, a commercial airport serving the Flint, Michigan area in the United States.
  • D. NT
    NT is the IATA airline designator assigned to the Spanish regional carrier Binter Canarias, which operates inter-island and nearby international flights from the Canary Islands.
  • E. NT
    NT is the vehicle registration code used on license plates for vehicles registered in the Thessaloniki regional unit of Greece.
  • 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: NFNT
Triple: [Font Manager, usesResourceType, NFNT]
Generated description
NFNT is a classic Macintosh font resource format used by early Apple operating systems to store and manage bitmap fonts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NFNT
Target entity description: NFNT is a classic Macintosh font resource format used by early Apple operating systems to store and manage bitmap fonts.
  • A. NF
    NF was the abbreviation for the National Front of the German Democratic Republic, a political alliance dominated by the ruling Socialist Unity Party that coordinated and controlled all legal political activity in East Germany.
  • B. NTF
    NTF is a high-speed wind tunnel facility operated by NASA for advanced aerodynamic testing at transonic speeds.
  • C. FNT
    FNT is the IATA airport code for Bishop International Airport, a commercial airport serving the Flint, Michigan area in the United States.
  • D. NT
    NT is the IATA airline designator assigned to the Spanish regional carrier Binter Canarias, which operates inter-island and nearby international flights from the Canary Islands.
  • E. NT
    NT is the vehicle registration code used on license plates for vehicles registered in the Thessaloniki regional unit of Greece.
  • 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_69ca831a4f348190bfdd09250e86ae35 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4f3a81881908f20514579945ffa completed March 31, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce39fc9bf481908e37919b13465d18 completed April 2, 2026, 9:42 a.m.
NEDg Description generation batch_69ce3b1e188c8190ad894478141f6501 completed April 2, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_69ce3bfd00948190b3956be3f8c5d547 completed April 2, 2026, 9:50 a.m.
Created at: March 30, 2026, 6:11 p.m.