Triple

T7253897
Position Surface form Disambiguated ID Type / Status
Subject عبد القادر الجيلاني E157670 entity
Predicate birthPlace P1 FINISHED
Object جيلان E376809 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: جيلان | Statement: [عبد القادر الجيلاني, birthPlace, جيلان]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: جيلان
Context triple: [عبد القادر الجيلاني, birthPlace, جيلان]
  • A. Gilan Province chosen
    Gilan Province is a lush, mountainous region in northern Iran along the Caspian Sea, known for its humid climate, rice paddies, tea plantations, and distinct local culture.
  • B. Mazandaran Province
    Mazandaran Province is a lush, populous region in northern Iran along the southern coast of the Caspian Sea, known for its forests, agriculture, and tourism.
  • C. Alborz Province
    Alborz Province is a small but densely populated province in northern Iran, located just west of Tehran and known for its mountainous terrain and proximity to the capital.
  • D. Hormozgan Province
    Hormozgan Province is a coastal region in southern Iran along the Persian Gulf and Gulf of Oman, known for its strategic ports and numerous islands including Kish.
  • E. Javad Uyezd
    Javad Uyezd was an administrative district of the Russian Empire located within the Baku Governorate in the South Caucasus region.
  • 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_69c6882d81d4819085f7ff862951ee4f completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea9f55b4819081a43e7a01eda154 completed March 27, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d3ac0de88190990c1ef25636260c completed March 28, 2026, 1:12 p.m.
Created at: March 27, 2026, 2:56 p.m.