Triple

T11947773
Position Surface form Disambiguated ID Type / Status
Subject Surat district E284345 entity
Predicate borderedBy P224 FINISHED
Object Dang district E918291 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: Dang district | Statement: [Surat district, borderedBy, Dang district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dang district
Context triple: [Surat district, borderedBy, Dang district]
  • A. Dang district chosen
    Dang district is a forested and hilly administrative district in the southern part of Gujarat, India, known for its significant tribal population and rich natural landscapes.
  • B. Dadu District
    Dadu District is an administrative district in the Sindh province of Pakistan, known for its historical archaeological sites and proximity to the Indus River.
  • C. Huli District
    Huli District is an urban district of Xiamen in Fujian Province, China, known for its role as a commercial and transportation hub including part of Xiamen Island and the city's airport.
  • D. Achin District
    Achin District is an administrative district in eastern Afghanistan known for its mountainous terrain and history of militant activity.
  • E. Kra Daadi district
    Kra Daadi district is an administrative district in the Indian state of Arunachal Pradesh, known for its hilly terrain and significant Nyishi population.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90346825c8190ab4482a1fc8eed56 completed April 10, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63edbcd288190b491a16f2bf8fc62 completed May 2, 2026, 6:13 p.m.
Created at: April 8, 2026, 9:45 p.m.