Triple

T18730064
Position Surface form Disambiguated ID Type / Status
Subject Tofaş Murat 124 E458010 entity
Predicate alsoKnownAs P39 FINISHED
Object Tofaş 124 NE NERFINISHED

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: Tofaş 124 | Statement: [Tofaş Murat 124, alsoKnownAs, Tofaş 124]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tofaş 124
Context triple: [Tofaş Murat 124, alsoKnownAs, Tofaş 124]
  • A. Tofaş Murat 124 chosen
    The Tofaş Murat 124 is a Turkish-built compact family car produced under license from the Fiat 124 and widely regarded as one of Turkey’s classic early mass-market automobiles.
  • B. Tofaş S.K.
    Tofaş S.K. is a professional basketball club based in Bursa, Turkey, competing in the Turkish Basketball Super League and European competitions.
  • C. Tatra T5C5
    The Tatra T5C5 is a type of articulated tramcar built by ČKD Tatra that has long served as a primary workhorse on Budapest’s tram network.
  • D. Tatra 815
    The Tatra 815 is a heavy-duty Czech all-wheel-drive truck platform widely used for both military applications and commercial transport.
  • E. Araba
    Araba is the Basque-language name for Álava, a historic province in northern Spain that forms part of the Basque Country.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56d7660488190b4f70db963d05ef6 completed April 20, 2026, 12:04 a.m.
Created at: April 10, 2026, 11:50 a.m.