Triple

T10127405
Position Surface form Disambiguated ID Type / Status
Subject Common Turkic branch E226248 entity
Predicate includesLanguage P2177 FINISHED
Object Khalaj E233991 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: Khalaj | Statement: [Common Turkic branch, includesLanguage, Khalaj]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khalaj
Context triple: [Common Turkic branch, includesLanguage, Khalaj]
  • A. Khalaj chosen
    Khalaj is a distinct and archaic Turkic language spoken primarily in central Iran, notable for preserving many features lost in other Turkic languages.
  • B. Sorkheh
    Sorkheh is a small city in north-central Iran known for its location within Semnan Province and its semi-arid climate.
  • C. Jalalaqsi
    Jalalaqsi is a town in central Somalia that serves as a local administrative and commercial center within the Hirshabelle State.
  • D. Pishva
    Pishva is a city in Tehran Province, Iran, known as an administrative and local commercial center for the surrounding region.
  • E. Darband
    Darband is a popular mountainous neighborhood and hiking gateway in northern Tehran, Iran, known for its scenic trails, riverside cafés, and traditional restaurants.
  • 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_69ca843057b48190a86730167f5d6b98 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd2eef7388190b95ffd02814f2d1f completed April 2, 2026, 2:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d354f0def48190bd5fcd5820459893 completed April 6, 2026, 6:38 a.m.
Created at: March 30, 2026, 9:05 p.m.