Triple

T8233621
Position Surface form Disambiguated ID Type / Status
Subject Tiger HAD E192351 entity
Predicate variantOf P4680 FINISHED
Object Tiger UHT E192352 NE FINISHED

How this triple was built (2 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: Tiger UHT | Statement: [Tiger HAD, variantOf, Tiger UHT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiger UHT
Context triple: [Tiger HAD, variantOf, Tiger UHT]
  • A. Tiger UHT chosen
    Tiger UHT is the German Army’s anti-tank and multi-role variant of the Eurocopter Tiger attack helicopter, optimized for precision engagement and battlefield support.
  • B. Tiger HAP
    Tiger HAP is a French multi-role attack helicopter variant of the Eurocopter Tiger, optimized for armed reconnaissance and close air support missions.
  • C. Taze
    Taze is the middle name of Charles Taze Russell, the American religious leader who founded the Bible Student movement and was an early influence on Jehovah’s Witnesses.
  • D. Tarbock
    Tarbock is a village in the Metropolitan Borough of Knowsley in Merseyside, England, known historically for its agricultural roots and rural character.
  • E. Thums Up
    Thums Up is a popular Indian cola soft drink brand known for its strong, fizzy taste and macho, adventurous image.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82db5b90819085d1ad7c2e27bfcc completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb782792a48190a34b0abfcc92064b completed March 31, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd34f0a770819089520e689ca9937a completed April 1, 2026, 3:08 p.m.
Created at: March 30, 2026, 5:46 p.m.