Triple

T7014285
Position Surface form Disambiguated ID Type / Status
Subject Shimen Reservoir E162660 entity
Predicate locatedNear P294 FINISHED
Object Longtan District E628108 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: Longtan District | Statement: [Shimen Reservoir, locatedNear, Longtan District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Longtan District
Context triple: [Shimen Reservoir, locatedNear, Longtan District]
  • A. Longtan District chosen
    Longtan District is a suburban district in southern Taoyuan City, Taiwan, known for its scenic lake, Hakka culture, and technology and military research facilities.
  • B. Banan District
    Banan District is an administrative district of Chongqing, China, known for its mix of urban development, industrial zones, and scenic areas along the Yangtze River.
  • C. Tembuku District
    Tembuku District is an administrative district in the regency of Bangli on the island of Bali, Indonesia.
  • D. Mizo District
    Mizo District was a former administrative district in northeastern India that later evolved into the present-day state of Mizoram.
  • E. O Mon District
    O Mon District is an urban district within Cần Thơ municipality in Vietnam’s Mekong Delta region, known for its canals, rice cultivation, and growing urban development.
  • 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_69c6885a127c8190867b059bdccf13ff completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1d31edc8190931655616d0739d1 completed March 27, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a53e96081909dfe21a80b20f80d completed March 28, 2026, 5:42 a.m.
Created at: March 27, 2026, 2:34 p.m.