Triple

T4340611
Position Surface form Disambiguated ID Type / Status
Subject FH77 howitzer series E97569 entity
Predicate hasVariant P455 FINISHED
Object FH77A
FH77A is a Swedish 155 mm towed field howitzer variant known for its relatively advanced loading system and use in modern artillery forces.
E432126 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: FH77A | Statement: [FH77 howitzer series, hasVariant, FH77A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FH77A
Context triple: [FH77 howitzer series, hasVariant, FH77A]
  • A. FR-77
    FR-77 is the ISO 3166-2 code designating the French department of Seine-et-Marne in the Île-de-France region.
  • B. F-7
    The F-7 was a heavy-duty model in Ford’s first postwar “Bonus-Built” truck lineup, positioned above the light-duty F-1 and mid-range F-2/F-3 models.
  • C. FH
    FH is the vehicle registration code used on license plates for the emirate of Fujairah in the United Arab Emirates.
  • D. FN-2187
    FN-2187 is the stormtrooper designation of Finn, the former First Order soldier who defects to join the Resistance in the Star Wars sequel trilogy.
  • E. FR-82
    FR-82 is the ISO 3166-2 code designating the French department of Tarn-et-Garonne in the Occitanie region of southern France.
  • 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: FH77A
Triple: [FH77 howitzer series, hasVariant, FH77A]
Generated description
FH77A is a Swedish 155 mm towed field howitzer variant known for its relatively advanced loading system and use in modern artillery forces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: FH77A
Target entity description: FH77A is a Swedish 155 mm towed field howitzer variant known for its relatively advanced loading system and use in modern artillery forces.
  • A. FR-77
    FR-77 is the ISO 3166-2 code designating the French department of Seine-et-Marne in the Île-de-France region.
  • B. F-7
    The F-7 was a heavy-duty model in Ford’s first postwar “Bonus-Built” truck lineup, positioned above the light-duty F-1 and mid-range F-2/F-3 models.
  • C. FH
    FH is the vehicle registration code used on license plates for the emirate of Fujairah in the United Arab Emirates.
  • D. FN-2187
    FN-2187 is the stormtrooper designation of Finn, the former First Order soldier who defects to join the Resistance in the Star Wars sequel trilogy.
  • E. FR-82
    FR-82 is the ISO 3166-2 code designating the French department of Tarn-et-Garonne in the Occitanie region of southern France.
  • 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_69b3454662a481908fbcd0bbfaa3a0a4 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35170a6648190a15ffb21640ee478 completed March 12, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d0b301188190af8514a675aebb5f completed March 14, 2026, 9:18 p.m.
NEDg Description generation batch_69b5d137271c8190a2d66fb47eb10d93 completed March 14, 2026, 9:20 p.m.
NED2 Entity disambiguation (via description) batch_69b5d4e5e24c8190980bc545ca0d339d completed March 14, 2026, 9:36 p.m.
Created at: March 12, 2026, 11:14 p.m.