Triple

T10204945
Position Surface form Disambiguated ID Type / Status
Subject Bar Hebraeus E242169 entity
Predicate deathPlace P21 FINISHED
Object Maragha E243700 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: Maragha | Statement: [Bar Hebraeus, deathPlace, Maragha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maragha
Context triple: [Bar Hebraeus, deathPlace, Maragha]
  • A. El Maragha
    El Maragha is a town in Upper Egypt located within the Sohag Governorate along the Nile River.
  • B. Maragheh chosen
    Maragheh is a historic city in northwestern Iran known for its rich cultural heritage and notable astronomical observatory from the Ilkhanid era.
  • C. Nishapur
    Nishapur is an ancient city in northeastern Iran that flourished as a major political, commercial, and intellectual hub along the Silk Road, especially during the early Islamic and Abbasid periods.
  • D. Sultaniyeh
    Sultaniyeh is a historic city in northwestern Iran best known for its UNESCO-listed Ilkhanid-era mausoleum, one of the largest brick domes in the world.
  • E. Rayy
    Rayy was an important medieval city near present-day Tehran that served as a major political, commercial, and intellectual hub during the Islamic Golden Age.
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d395f6298c8190a4a0ad9770f10e80 completed April 6, 2026, 11:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d652b489608190b844e1199e6126ce completed April 8, 2026, 1:05 p.m.
Created at: April 6, 2026, 10:37 a.m.