Triple

T5881889
Position Surface form Disambiguated ID Type / Status
Subject Dezfuli dialect E130766 entity
Predicate city P40 FINISHED
Object Dezful E553035 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: Dezful | Statement: [Dezfuli dialect, city, Dezful]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dezful
Context triple: [Dezfuli dialect, city, Dezful]
  • A. Dezful chosen
    Dezful is a historic city in southwestern Iran, known for its ancient bridges, traditional architecture, and distinctive local culture.
  • B. Abermain
    Abermain is a town in the Hunter Region of New South Wales, Australia, known historically for its coal mining and rural community character.
  • C. Baldock
    Baldock is a historic market town in the county of Hertfordshire, England.
  • D. Torresdale
    Torresdale is a residential neighborhood in the far northeastern section of Philadelphia, Pennsylvania, known for its proximity to the Delaware River and suburban character.
  • E. Chatteris
    Chatteris is a small market town in the Fenland district of Cambridgeshire, England, known for its agricultural surroundings and historic parish church.
  • 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_69c0085523688190bfd487479ce819e6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03673ecd88190978993056b675259 completed March 22, 2026, 6:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bff29200819080c7d9269ad80c53 completed March 23, 2026, 4:22 a.m.
Created at: March 22, 2026, 3:57 p.m.