Triple

T8397965
Position Surface form Disambiguated ID Type / Status
Subject Sitiawan E198100 entity
Predicate locatedIn P40 FINISHED
Object Manjung District E668307 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: Manjung District | Statement: [Sitiawan, locatedIn, Manjung District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manjung District
Context triple: [Sitiawan, locatedIn, Manjung District]
  • A. Manjung District chosen
    Manjung District is a coastal administrative district in the state of Perak, Malaysia, known for its maritime economy, tourism, and nearby island destinations.
  • B. Kuala Pilah District
    Kuala Pilah District is an inland administrative district in the Malaysian state of Negeri Sembilan, known for its traditional Minangkabau cultural heritage and rural landscapes.
  • C. Seremban District
    Seremban District is an administrative district in the Malaysian state of Negeri Sembilan that includes the state capital, Seremban, as its main urban center.
  • D. Tampin District
    Tampin District is an administrative district in the Malaysian state of Negeri Sembilan, known for its border location adjacent to Malacca and Johor.
  • E. Brunei-Muara District
    Brunei-Muara District is the smallest yet most populous district of Brunei, encompassing the national capital and serving as the country’s main political and economic center.
  • 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_69ca82f816bc8190ab321c07d72208c1 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb818a8dc081908efd5d7f910322e7 completed March 31, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde867d21c8190b066a6c88273ec5a completed April 2, 2026, 3:54 a.m.
Created at: March 30, 2026, 6:04 p.m.