Triple

T13931481
Position Surface form Disambiguated ID Type / Status
Subject Free TC E335001 entity
Predicate featuresArtist P1952 FINISHED
Object TC unclear NED1 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: TC | Statement: [Free TC, featuresArtist, TC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TC
Context triple: [Free TC, featuresArtist, TC]
  • A. TC
    TC is the standard abbreviation for the IEEE Transactions on Computers, a leading peer-reviewed journal covering research in computer science and engineering.
  • B. TC
    TC is the two-letter ISO 3166-1 alpha-2 country code assigned to the Turks and Caicos Islands.
  • C. TC
    TC is the Constitutional Court of Peru, the country’s highest body responsible for interpreting and safeguarding the constitution and constitutional rights.
  • D. TC
    TC is the commonly used abbreviation for Transport Canada, the federal department responsible for transportation policies and programs in Canada.
  • E. TC
    TC is the commonly used abbreviation for the Constitutional Court of Spain, the country’s highest body in matters of constitutional interpretation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2cf13b2881908a48058a719d3745 completed April 14, 2026, 12:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce8452648190b7392d75eb1ca874 completed May 3, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:16 p.m.