Triple

T9527422
Position Surface form Disambiguated ID Type / Status
Subject Shirin Ebadi E229794 entity
Predicate placeOfBirth P1 FINISHED
Object Hamedan E78489 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: Hamedan | Statement: [Shirin Ebadi, placeOfBirth, Hamedan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamedan
Context triple: [Shirin Ebadi, placeOfBirth, Hamedan]
  • A. Hamadan chosen
    Hamadan is an ancient city in western Iran, historically significant as a major center of Persian Jewish life and one of the oldest continuously inhabited cities in the region.
  • B. Qazvin
    Qazvin is a historic city in northwestern Iran known for its rich cultural heritage, traditional architecture, and role as a former capital of the Persian Empire.
  • C. Khorramabad
    Khorramabad is a city in western Iran and the capital of Lorestan Province, known for its mountainous surroundings and historical sites such as Falak-ol-Aflak Castle.
  • D. Sardasht
    Sardasht is a Kurdish-populated city in Iran’s West Azerbaijan province, historically known for being one of the first civilian targets of large-scale chemical weapons attacks during the Iran–Iraq War.
  • E. Kashan
    Kashan is an Iranian city renowned for its rich history, traditional architecture, and production of high-quality Persian carpets.
  • 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_69ca8479934c81908006d0e6e970ae05 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd989c831081908877e42f7ead84ba completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69dbd9073c948190aa2e9e6b7ffe9022 completed April 12, 2026, 5:40 p.m.
Created at: March 30, 2026, 8 p.m.