Triple

T10495801
Position Surface form Disambiguated ID Type / Status
Subject Mozaffar ad-Din Shah Qajar E247533 entity
Predicate burialPlace P196 FINISHED
Object Rey, Iran E437654 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: Rey, Iran | Statement: [Mozaffar ad-Din Shah Qajar, burialPlace, Rey, Iran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rey, Iran
Context triple: [Mozaffar ad-Din Shah Qajar, burialPlace, Rey, Iran]
  • A. Ray, Iran chosen
    Ray, Iran is an ancient city near modern-day Tehran, historically significant as a major cultural and scientific center of Persia and the birthplace of the renowned polymath Al-Razi.
  • B. Iranshahr
    Iranshahr is a city in southeastern Iran known as an administrative and cultural center within the Sistan and Baluchestan region.
  • C. Mozzafarieh
    Mozzafarieh is a notable section of the Tabriz Historic Bazaar Complex, traditionally associated with specialized trade and craftsmanship within the bazaar.
  • D. Esfarayen
    Esfarayen is a city in North Khorasan Province in northeastern Iran, known for its historical background and regional agricultural activities.
  • E. Tus, Iran
    Tus, Iran is an ancient city in northeastern Iran best known as the birthplace and burial place of the epic poet Ferdowsi, author of the Shahnameh.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5098be488819083d614f528cd82fb completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dcbafe9481908fb23cfdf150adac completed April 10, 2026, 11:19 a.m.
Created at: April 6, 2026, 12:24 p.m.