Triple

T20066854
Position Surface form Disambiguated ID Type / Status
Subject Kakh-e Niavaran E499628 entity
Predicate near P350 FINISHED
Object Tajrish 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: Tajrish | Statement: [Kakh-e Niavaran, near, Tajrish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tajrish
Context triple: [Kakh-e Niavaran, near, Tajrish]
  • A. Tajrish chosen
    Tajrish is a historic and bustling neighborhood in northern Tehran known for its traditional bazaar, central square, and proximity to the Alborz Mountains.
  • B. Taleqan
    Taleqan is a small mountainous city in northern Iran known for its cool climate, natural landscapes, and traditional rural architecture.
  • C. Masuleh
    Masuleh is a historic stepped village in northern Iran renowned for its terraced architecture built into the mountainside and its scenic foggy landscapes.
  • D. Pakdasht
    Pakdasht is a city in Tehran Province, Iran, known as an industrial and agricultural hub located southeast of Tehran.
  • E. Tajewala
    Tajewala is a village in the Yamunanagar district of Haryana, India, historically known for the Tajewala Barrage on the Yamuna River, which was later replaced by the nearby Hathni Kund Barrage.
  • 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66379f2cc81908f13a7b216878f12 completed April 20, 2026, 5:33 p.m.
Created at: April 11, 2026, 3:39 p.m.