Triple

T10707114
Position Surface form Disambiguated ID Type / Status
Subject Sungai Petani E252435 entity
Predicate railAccessFrom P57688 FINISHED
Object Butterworth E782248 NE FINISHED

How this triple was built (3 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: Butterworth | Statement: [Sungai Petani, railAccessFrom, Butterworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Butterworth
Context triple: [Sungai Petani, railAccessFrom, Butterworth]
  • A. Butterworth chosen
    Butterworth is a major town in Penang, Malaysia, serving as an important transport and industrial hub with key road, rail, and ferry links.
  • B. Butterworth
    Butterworth is an English surname borne by various notable individuals, including playwright and screenwriter Jez Butterworth.
  • C. Butterworth
    Butterworth is a historic town in South Africa’s Eastern Cape province, known as one of the oldest settlements in the former Transkei region and a regional commercial center.
  • D. Bode
    The Bode is a river in central Germany that flows through the Harz Mountains and Saxony-Anhalt before joining the Saale.
  • E. Bode
    Bode is a surname most notably associated with Hendrik Wade Bode, an influential American engineer and pioneer in control theory and communication systems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: railAccessFrom
Context triple: [Sungai Petani, railAccessFrom, Butterworth]
  • A. railAccessModel
    Indicates the type or pattern of how rail infrastructure or services are accessed or connected between locations or entities.
  • B. railwayAccess chosen
    Indicates that an entity has direct access to, connection with, or service by a railway line or station.
  • C. accessibleFromStation
    Indicates that a location or facility can be reached directly or conveniently starting from a given station.
  • D. endStationProvidesAccessTo
    Indicates that a particular end station offers access or connectivity to another location, service, or network resource.
  • E. roadAccessFrom
    Indicates that one location can be reached from another via a usable road connection.
  • F. None of above.

Provenance (4 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fde080d48190830eaa863aad61ff completed April 9, 2026, 1:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9990760b48190a05753974cdf556c completed April 11, 2026, 12:42 a.m.
PD Predicate disambiguation batch_69d6f30455888190b77f476b8418eaee completed April 9, 2026, 12:29 a.m.
Created at: April 8, 2026, 9:12 p.m.