Triple

T2023660
Position Surface form Disambiguated ID Type / Status
Subject Exocet E44159 entity
Predicate typeVariant P4680 FINISHED
Object AM39
AM39 is an air-launched variant of the French Exocet anti-ship missile, designed for use from aircraft against naval targets.
E225970 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: AM39 | Statement: [Exocet, typeVariant, AM39]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AM39
Context triple: [Exocet, typeVariant, AM39]
  • A. AMTK
    AMTK is the reporting mark used by Amtrak, the United States’ national passenger railroad service, to identify its locomotives and rolling stock.
  • B. A359
    A359 is the ICAO aircraft type designator for the Airbus A350-900, a long-range, wide-body twin-engine jet airliner used primarily for international passenger flights.
  • C. A9
    A9 is a major German autobahn that runs north–south, connecting Berlin with Munich and passing through regions such as Middle Franconia.
  • D. BB-39
    BB-39 is the hull classification symbol for USS Arizona, a Pennsylvania-class battleship of the United States Navy sunk during the attack on Pearl Harbor in 1941.
  • E. AC-9
    The AC-9 was a class of massive 2-8-8-4 articulated steam locomotives built for the Southern Pacific Railroad, notable for their conventional (non-cab-forward) design and use in heavy freight service.
  • 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: AM39
Triple: [Exocet, typeVariant, AM39]
Generated description
AM39 is an air-launched variant of the French Exocet anti-ship missile, designed for use from aircraft against naval targets.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: AM39
Target entity description: AM39 is an air-launched variant of the French Exocet anti-ship missile, designed for use from aircraft against naval targets.
  • A. AMTK
    AMTK is the reporting mark used by Amtrak, the United States’ national passenger railroad service, to identify its locomotives and rolling stock.
  • B. A359
    A359 is the ICAO aircraft type designator for the Airbus A350-900, a long-range, wide-body twin-engine jet airliner used primarily for international passenger flights.
  • C. A9
    A9 is a major German autobahn that runs north–south, connecting Berlin with Munich and passing through regions such as Middle Franconia.
  • D. BB-39
    BB-39 is the hull classification symbol for USS Arizona, a Pennsylvania-class battleship of the United States Navy sunk during the attack on Pearl Harbor in 1941.
  • E. AC-9
    The AC-9 was a class of massive 2-8-8-4 articulated steam locomotives built for the Southern Pacific Railroad, notable for their conventional (non-cab-forward) design and use in heavy freight service.
  • 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_69a8891201bc8190aca837be6de41579 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abbdbfe6188190a32ab023660312bd completed March 7, 2026, 5:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0af7e5b0819088e2221ddc0a38ce completed March 8, 2026, 11:49 p.m.
NEDg Description generation batch_69ae0b78f3fc81909010d88b454e9fa1 completed March 8, 2026, 11:51 p.m.
NED2 Entity disambiguation (via description) batch_69ae0c5983ac819082362a3b67dd9808 completed March 8, 2026, 11:55 p.m.
Created at: March 4, 2026, 7:38 p.m.