Triple

T18957635
Position Surface form Disambiguated ID Type / Status
Subject Bell 47 E463820 entity
Predicate militaryDesignation P7137 FINISHED
Object TH-13
TH-13 is the U.S. military training helicopter variant of the Bell 47 light utility helicopter.
 E1351185 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: TH-13 | Statement: [Bell 47, militaryDesignation, TH-13]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TH-13
Context triple: [Bell 47, militaryDesignation, TH-13]
  • A. SH 130
    SH 130 is a Texas toll highway known for its high speed limits and role as an alternative route to ease congestion on Interstate 35.
  • B. T13
    T13 is a public transit line that operates through or serves the Stadion area.
  • C. TH-73A Thrasher
    The TH-73A Thrasher is a modern training helicopter used by the U.S. Navy to prepare student aviators for advanced rotary-wing operations.
  • D. TH 55
    TH 55 is the catalogue number assigned to Pyotr Ilyich Tchaikovsky’s Piano Concerto No. 1 in B-flat minor, Op. 23, in the Tchaikovsky thematic catalog.
  • E. TX-14
    TX-14 is a U.S. congressional district in Texas that elects a representative to the United States House of Representatives.
  • 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: TH-13
Triple: [Bell 47, militaryDesignation, TH-13]
Generated description
TH-13 is the U.S. military training helicopter variant of the Bell 47 light utility helicopter.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TH-13
Target entity description: TH-13 is the U.S. military training helicopter variant of the Bell 47 light utility helicopter.
  • A. SH 130
    SH 130 is a Texas toll highway known for its high speed limits and role as an alternative route to ease congestion on Interstate 35.
  • B. T13
    T13 is a public transit line that operates through or serves the Stadion area.
  • C. TH-73A Thrasher
    The TH-73A Thrasher is a modern training helicopter used by the U.S. Navy to prepare student aviators for advanced rotary-wing operations.
  • D. TH 55
    TH 55 is the catalogue number assigned to Pyotr Ilyich Tchaikovsky’s Piano Concerto No. 1 in B-flat minor, Op. 23, in the Tchaikovsky thematic catalog.
  • E. TX-14
    TX-14 is a U.S. congressional district in Texas that elects a representative to the United States House of Representatives.
  • 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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d5cee8348190b6506b10aed6c58a completed April 20, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a059fd732f8819087374b0157bb693e completed May 14, 2026, 10:11 a.m.
NEDg Description generation batch_6a05a161c8e88190a6f9c9abe3314487 completed May 14, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_6a05a1cb500481908608daee7537dd0c completed May 14, 2026, 10:19 a.m.
Created at: April 10, 2026, noon