Triple

T21201139
Position Surface form Disambiguated ID Type / Status
Subject Tabari E522455 entity
Predicate region P40 FINISHED
Object Golestan Province NE NERFINISHED

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: Golestan Province | Statement: [Tabari, region, Golestan Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Golestan Province
Context triple: [Tabari, region, Golestan Province]
  • A. Golestan Province chosen
    Golestan Province is a northeastern region of Iran known for its ethnic diversity, rich natural landscapes, and location along the Caspian Sea.
  • B. Chahar Province
    Chahar Province was a former province of northern China that historically encompassed parts of what are now Hebei and Inner Mongolia and served as a strategic frontier region.
  • C. Razavi Khorasan Province
    Razavi Khorasan Province is a large northeastern region of Iran known for its religious significance as the location of the holy city of Mashhad and the shrine of Imam Reza.
  • D. Sar-e Pol Province
    Sar-e Pol Province is a northern Afghan province known for its ethnically diverse population, agriculture-based economy, and history of conflict and insecurity.
  • E. Faryab Province
    Faryab Province is a region in northern Afghanistan known for its ethnically diverse population, agricultural economy, and strategic location bordering Turkmenistan.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5112d8881909510b2dcdc93106d completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73430c5a08190aeb6a62eec0f43a3 completed April 21, 2026, 8:24 a.m.
Created at: April 16, 2026, 3:18 p.m.