Triple

T10718577
Position Surface form Disambiguated ID Type / Status
Subject Twice E252751 entity
Predicate notableWork P4 FINISHED
Object TT E110456 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: TT | Statement: [Twice, notableWork, TT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TT
Context triple: [Twice, notableWork, TT]
  • A. TT
    TT is the common abbreviation for the Isle of Man TT, a famous and notoriously dangerous annual motorcycle racing event held on the Isle of Man.
  • B. TT
    TT (Terrestrial Time) is a modern astronomical time standard used as the independent time variable in ephemerides and precise celestial mechanics, defined to provide a uniform time scale for observations from Earth's surface.
  • C. TT
    TT is the stock ticker symbol for Trane Technologies, a global climate innovation company specializing in heating, ventilation, air conditioning (HVAC), and refrigeration solutions.
  • D. TM
    TM is the New York Stock Exchange ticker symbol for Toyota Motor Corporation, the Japanese multinational automotive manufacturer.
  • E. TTW
    TTW is the ICAO airline designator assigned to Tigerair Taiwan, a low-cost carrier based in Taiwan.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6ff36558c81908682adbe7b5dce05 completed April 9, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbb71dd6f88190beb99ca75914fb09 completed April 12, 2026, 3:15 p.m.
Created at: April 8, 2026, 9:13 p.m.