Triple

T3669814
Position Surface form Disambiguated ID Type / Status
Subject Gilaki E77850 entity
Predicate region P40 FINISHED
Object Gilan 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: Gilan | Statement: [Gilaki, region, Gilan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gilan
Context triple: [Gilaki, region, Gilan]
  • 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. Javad Uyezd
    Javad Uyezd was an administrative district of the Russian Empire located within the Baku Governorate in the South Caucasus region.
  • E. Margilan
    Margilan is a historic city in eastern Uzbekistan renowned as a traditional center of silk production and trade along the Silk Road.
  • 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_69ad85e083008190b2e1b7085fe500bd completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc42b3f94819091d51e488bc3f2f2 completed March 8, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3a047948190a50d1648fe209371 completed March 14, 2026, 2:10 a.m.
Created at: March 8, 2026, 3:25 p.m.