Triple

T9032345
Position Surface form Disambiguated ID Type / Status
Subject Zunheboto E216401 entity
Predicate partOf P40 FINISHED
Object Zunheboto district E772439 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: Zunheboto district | Statement: [Zunheboto, partOf, Zunheboto district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zunheboto district
Context triple: [Zunheboto, partOf, Zunheboto district]
  • A. Zunheboto district chosen
    Zunheboto district is an administrative district in the Indian state of Nagaland, known for its hilly terrain and predominantly Sumi Naga population.
  • B. Lunan District
    Lunan District is an urban administrative district within the city of Tangshan in Hebei Province, China.
  • C. Yosa District
    Yosa District is a rural administrative district in northern Kyoto Prefecture, Japan, known for its coastal landscapes along the Sea of Japan and traditional fishing and farming communities.
  • D. Niuas district
    Niuas district is a remote administrative district of Tonga comprising the northernmost islands, including Niuafoʻou and Niuatoputapu.
  • E. Magura District
    Magura District is an administrative region in southwestern Bangladesh known for its agricultural economy and location within the Khulna Division.
  • 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_69ca83d10b608190b2b2f8e0a7faaf14 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6aa0c89c81909792190f08fef8df completed April 1, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffda9697c81908a1a9e447519ce05 completed April 3, 2026, 5:49 p.m.
Created at: March 30, 2026, 7:08 p.m.