Triple

T11567010
Position Surface form Disambiguated ID Type / Status
Subject Batu Pahat E274277 entity
Predicate locatedSouthOf P9676 FINISHED
Object Muar E218122 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: Muar | Statement: [Batu Pahat, locatedSouthOf, Muar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muar
Context triple: [Batu Pahat, locatedSouthOf, Muar]
  • A. Muar chosen
    Muar is a historic riverside town and important commercial center in the Malaysian state of Johor, known for its colonial architecture, food culture, and coffee shops.
  • B. Muar River
    The Muar River is a major river in southern Peninsular Malaysia that flows through several districts before emptying into the Strait of Malacca.
  • C. Johor River
    The Johor River is a major waterway in the southern Malaysian state of Johor, historically significant as a strategic and economic lifeline for the region.
  • D. Bachok
    Bachok is a coastal town and district in the Malaysian state of Kelantan, known for its beaches and traditional Malay fishing villages.
  • E. Kelantan River
    The Kelantan River is a major waterway in northeastern Peninsular Malaysia that flows through the state of Kelantan into the South China Sea, playing a key role in the region’s ecology, agriculture, and settlements.
  • 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.