Triple

T9055155
Position Surface form Disambiguated ID Type / Status
Subject Gilaks E216977 entity
Predicate historicalRegion P915 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: [Gilaks, historicalRegion, Gilan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gilan
Context triple: [Gilaks, historicalRegion, 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_69ca83d4425481909a319dab847724ec completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc7a7488188190b3dd6bc2f2377503 completed April 1, 2026, 1:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0543ddf6881908e9add22083d652d completed April 3, 2026, 11:58 p.m.
Created at: March 30, 2026, 7:10 p.m.