Triple

T15477142
Position Surface form Disambiguated ID Type / Status
Subject گیلکی E376810 entity
Predicate nativeTo P410 FINISHED
Object استان گیلان 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: استان گیلان | Statement: [گیلکی, nativeTo, استان گیلان]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: استان گیلان
Context triple: [گیلکی, nativeTo, استان گیلان]
  • A. 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.
  • B. 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.
  • 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. Zanjan Province
    Zanjan Province is a northwestern region of Iran known for its Azerbaijani-speaking population, traditional handicrafts, and historical sites.
  • E. Tehran Province
    Tehran Province is an administrative region in north-central Iran that includes the nation’s capital, Tehran, and serves as a major political, economic, and cultural hub.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f88a5dc8190a2d7830748e29180 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01792dc0b08190a0871959ce752313 completed May 11, 2026, 6:37 a.m.
Created at: April 10, 2026, 3:34 a.m.