Triple

T8235796
Position Surface form Disambiguated ID Type / Status
Subject Tengboche E192401 entity
Predicate locatedIn P40 FINISHED
Object Province No. 1 E187802 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: Province No. 1 | Statement: [Tengboche, locatedIn, Province No. 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Province No. 1
Context triple: [Tengboche, locatedIn, Province No. 1]
  • A. Province No. 1 chosen
    Province No. 1 is an eastern administrative region of Nepal that encompasses parts of the Himalayas, including the area around Mount Everest.
  • B. Province No. 7
    Province No. 7, now known as Sudurpashchim Province, is a western administrative region of Nepal established under the country's 2015 federal constitution.
  • C. Province 4
    Province 4 is an administrative region that shares a boundary with Province 5 within its country’s provincial system.
  • D. La Convención Province
    La Convención Province is a large, predominantly rural province in southern Peru known for its Amazonian landscapes, agricultural production (especially coca and coffee), and location within the Cusco Region.
  • E. City of Sunshine
    City of Sunshine is the popular nickname of Szeged, a major city in southern Hungary renowned for its exceptionally sunny climate.
  • 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_69ca82dc8f148190a2c75a98501a7b91 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb782a5e18819096235679f5a644a8 completed March 31, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd34fb069c8190965d69fae908482e completed April 1, 2026, 3:08 p.m.
Created at: March 30, 2026, 5:46 p.m.