Triple

T16504391
Position Surface form Disambiguated ID Type / Status
Subject Pematangsiantar E400884 entity
Predicate hasRoadConnectionTo P11435 FINISHED
Object Parapat E1217469 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: Parapat | Statement: [Pematangsiantar, hasRoadConnectionTo, Parapat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parapat
Context triple: [Pematangsiantar, hasRoadConnectionTo, Parapat]
  • A. Parapat chosen
    Parapat is a lakeside town in North Sumatra, Indonesia, known as a major gateway and tourist hub for visits to Lake Toba and Samosir Island.
  • B. Pakurumo
    Pakurumo is a popular Afrobeat song by Nigerian artist Wizkid, known for its upbeat rhythm and dance-friendly vibe.
  • C. Parea
    Parea is a small coastal village on the island of Huahine in French Polynesia, known for its tranquil beaches and traditional Polynesian atmosphere.
  • D. Upata
    Upata is a town in southeastern Venezuela known as an agricultural and commercial center within Bolívar State.
  • E. Palatak
    Palatak is a notable literary work by Bengali writer and playwright Jyotirindranath Tagore.
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e5100e48190a623d6ee2fefb87e completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00607e933c8190ae0572583b5a9cbf completed May 10, 2026, 10:39 a.m.
Created at: April 10, 2026, 5:14 a.m.