Triple

T4976817
Position Surface form Disambiguated ID Type / Status
Subject Seoni E111785 entity
Predicate locatedIn P40 FINISHED
Object Seoni district E307214 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: Seoni district | Statement: [Seoni, locatedIn, Seoni district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seoni district
Context triple: [Seoni, locatedIn, Seoni district]
  • A. Seoni district chosen
    Seoni district is an administrative district in the state of Madhya Pradesh, India, known for its forests, agriculture, and location in the Satpura hill region.
  • B. Jung District
    Jung District is a central administrative and commercial district of Busan, South Korea, known for its historic markets, port-side location, and dense urban landscape.
  • C. Jung District
    Jung District is a central coastal district of Incheon, South Korea, known for encompassing Incheon International Airport and parts of the city’s historic port area.
  • D. Hangu District
    Hangu District is an administrative district in Pakistan’s Khyber Pakhtunkhwa province, known for its strategic location and history of sectarian tensions.
  • E. Sanchong District
    Sanchong District is a densely populated urban district in New Taipei City, Taiwan, situated across the river from central Taipei and known for its residential neighborhoods and commercial activity.
  • 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_69bd441adc208190b70a033a0741d01e completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7231448c8190a5d0a5135a9cfdf1 completed March 20, 2026, 4:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be8a0634b48190acb4a1834f5647cf completed March 21, 2026, 12:07 p.m.
Created at: March 20, 2026, 1:33 p.m.