Triple

T771770
Position Surface form Disambiguated ID Type / Status
Subject Southwestern Turkic E16295 entity
Predicate hasMember P10 FINISHED
Object Qashqai E79003 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: Qashqai | Statement: [Southwestern Turkic, hasMember, Qashqai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qashqai
Context triple: [Southwestern Turkic, hasMember, Qashqai]
  • A. Qashqai chosen
    Qashqai is a Turkic language variety spoken primarily by the Qashqai people in southwestern Iran, closely related to Azerbaijani.
  • B. Vivaro-Alpine
    Vivaro-Alpine is a Romance language variety traditionally spoken in parts of southeastern France and northwestern Italy, often considered a transitional form between Occitan and neighboring Alpine dialects.
  • C. Renault Master
    The Renault Master is a large light commercial van produced by the French manufacturer Renault, widely used in Europe for cargo and passenger transport.
  • D. Citroën Berlingo
    The Citroën Berlingo is a compact multi-purpose vehicle and panel van known for its practicality, spacious interior, and popularity as both a family car and light commercial vehicle.
  • E. Fiat Ducato
    The Fiat Ducato is a popular light commercial van produced by Fiat, widely used across Europe for cargo transport, camper conversions, and other utility purposes.
  • 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_69a49369a0848190af883934cee3db4c completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a706abf88190a1cbc2dfbbf9968a completed March 1, 2026, 8:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6667aabe08190b56f129864082c84 completed March 3, 2026, 4:41 a.m.
Created at: March 1, 2026, 7:37 p.m.