Triple

T20406545
Position Surface form Disambiguated ID Type / Status
Subject Tajrish E500481 entity
Predicate hasPart P35 FINISHED
Object Tajrish Square 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 Square | Statement: [Tajrish, hasPart, Tajrish Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tajrish Square
Context triple: [Tajrish, hasPart, Tajrish Square]
  • A. Tajrish Square area chosen
    Tajrish Square area is a bustling commercial and cultural district in northern Tehran, known for its traditional bazaar, historic mosque, and role as a major urban hub.
  • B. Baharestan Square
    Baharestan Square is a historic public square in central Tehran, Iran, known as a political hub due to its proximity to the national parliament and other key government institutions.
  • C. Haft-e Tir Square
    Haft-e Tir Square is a major public square and busy commercial and transportation hub in central Tehran, Iran.
  • D. Imam Square
    Imam Square, also known as Naqsh-e Jahan Square, is a historic UNESCO-listed public square in Isfahan, Iran, renowned for its grand Safavid-era architecture and surrounding monuments.
  • E. Ulus Square
    Ulus Square is a historic central plaza in Ankara, Turkey, known as a major political, commercial, and transportation hub of the city.
  • 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_69e0b4a81bec8190b69adfdc1336a015 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67992cfb88190ae49a1723e6667a1 completed April 20, 2026, 7:08 p.m.
Created at: April 16, 2026, 11:29 a.m.