Triple

T13976361
Position Surface form Disambiguated ID Type / Status
Subject Chail E336196 entity
Predicate nearbyCity P350 FINISHED
Object Solan E75528 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: Solan | Statement: [Chail, nearbyCity, Solan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Solan
Context triple: [Chail, nearbyCity, Solan]
  • A. Solan chosen
    Solan is a town in the Indian state of Himachal Pradesh known for its mushroom cultivation and as a growing commercial and educational hub in the region.
  • B. Ballari
    Ballari is a major city in the Indian state of Karnataka, known for its rich mineral resources and historical forts.
  • C. Solitano
    Solitano is the surname of the central family in the film "Silver Linings Playbook," including the protagonist Pat Solitano portrayed by Bradley Cooper.
  • D. Tuni
    Tuni is a town in the East Godavari district of Andhra Pradesh, India, known as a regional commercial and transportation hub.
  • E. Taraval
    Taraval is a major east–west street in San Francisco’s Sunset District, known for its residential character and Muni light rail service.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e90dc148190b38e339aac0de484 completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1e1eb108190b3c0739b94556172 completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:18 p.m.