Triple

T11566995
Position Surface form Disambiguated ID Type / Status
Subject Batu Pahat E274277 entity
Predicate district P2709 FINISHED
Object Batu Pahat District E933813 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: Batu Pahat District | Statement: [Batu Pahat, district, Batu Pahat District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Batu Pahat District
Context triple: [Batu Pahat, district, Batu Pahat District]
  • A. Batu Pahat District chosen
    Batu Pahat District is an administrative district in the state of Johor, Malaysia, known for its coastal location, mixed urban–rural character, and role as a regional commercial hub.
  • B. 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.
  • C. Muar District
    Muar District is an administrative district in the state of Johor, Malaysia, centered around the historic riverside town of Muar.
  • D. Johor Bahru District
    Johor Bahru District is an administrative district in the state of Johor, Malaysia, encompassing the city of Johor Bahru and its surrounding areas.
  • E. Kuala Kangsar District
    Kuala Kangsar District is an administrative district in the state of Perak, Malaysia, known for encompassing the royal town of Kuala Kangsar, the traditional seat of the Perak Sultanate.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88dd4305c8190ac5ff490b6b63e12 completed April 10, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e713bcc0048190bec14ac4ab84d51d completed April 21, 2026, 6:05 a.m.
Created at: April 8, 2026, 9:37 p.m.