Triple

T14127405
Position Surface form Disambiguated ID Type / Status
Subject Isfahan region E340068 entity
Predicate hasLandmark P105 FINISHED
Object Naqsh-e Jahan Square E342749 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: Naqsh-e Jahan Square | Statement: [Isfahan region, hasLandmark, Naqsh-e Jahan Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naqsh-e Jahan Square
Context triple: [Isfahan region, hasLandmark, Naqsh-e Jahan Square]
  • A. Naqsh-e Jahan Square chosen
    Naqsh-e Jahan Square is a grand historic plaza in Isfahan, Iran, renowned for its Safavid-era architecture and surrounding monumental mosques, palace, and bazaar.
  • 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. Azadi Square
    Azadi Square is a major public square in western Tehran, Iran, known for hosting the iconic Azadi Tower and serving as a central site for gatherings and national events.
  • D. Azadi Square
    Azadi Square is a central public square in the city of Kermanshah in western Iran, serving as a key urban landmark and gathering place.
  • E. Imam Hossein Square
    Imam Hossein Square is a major public square and traffic hub in Tehran, Iran, serving as an important junction for several key city streets and transportation routes.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6098013c8190b1bac9d3fff60acd completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf0c833081908458e4eaee689df7 completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:22 p.m.