Triple

T10103400
Position Surface form Disambiguated ID Type / Status
Subject Segamat E216257 entity
Predicate partOf P40 FINISHED
Object state of Johor E40971 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: state of Johor | Statement: [Segamat, partOf, state of Johor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: state of Johor
Context triple: [Segamat, partOf, state of Johor]
  • A. State of Perak
    The State of Perak is a Malaysian state on the west coast of Peninsular Malaysia, known for its historic tin-mining industry, royal town of Kuala Kangsar, and capital city Ipoh.
  • B. Johor chosen
    Johor is a state in southern Peninsular Malaysia known for its strategic location bordering Singapore, diverse economy, and rich Malay cultural heritage.
  • C. Malacca state
    Malacca state is a small but historically significant Malaysian state on the southwest coast of the Malay Peninsula, renowned for its colonial heritage and status as a UNESCO World Heritage Site.
  • D. Negeri Sembilan
    Negeri Sembilan is a state in western Peninsular Malaysia known for its Minangkabau cultural heritage and distinctive traditional architecture.
  • E. southern Johor
    Southern Johor is the southernmost part of the Malaysian state of Johor, encompassing rapidly developing industrial and urban areas near the border with Singapore.
  • 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_69ca83d039f08190b9d10363221c69fb completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd09af07c819099774af46ebf62d7 completed April 2, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3699166dc81908643c52879405718 completed April 6, 2026, 8:06 a.m.
Created at: March 30, 2026, 9:03 p.m.