Triple

T5436331
Position Surface form Disambiguated ID Type / Status
Subject Serang E122015 entity
Predicate connectedByRoadTo P11435 FINISHED
Object Merak E405619 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: Merak | Statement: [Serang, connectedByRoadTo, Merak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Merak
Context triple: [Serang, connectedByRoadTo, Merak]
  • A. Merak chosen
    Merak is a major port town in western Java, Indonesia, serving as a key ferry gateway between Java and Sumatra.
  • B. Saas-Almagell
    Saas-Almagell is a small alpine village and ski resort in the Swiss canton of Valais, known for its scenic mountain landscapes and outdoor recreation.
  • C. Udir
    Udir is the commonly used abbreviation for the Norwegian Directorate for Education and Training, the national authority responsible for implementing and overseeing Norway’s education policy.
  • D. Aludra
    Aludra is a bright blue supergiant star in the constellation Canis Major, known for its high luminosity and relatively short remaining lifespan.
  • E. Shaula
    Shaula is a bright multiple-star system marking the stinger of the constellation Scorpius and is one of the most luminous stars visible to the naked eye.
  • 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_69bd46400768819092925d461c0b8432 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91bb51d48190aab340d8d25e9a9a completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3acfd0408190877fbe41f1dc45ba completed March 22, 2026, 12:41 a.m.
Created at: March 20, 2026, 2:07 p.m.