Triple

T21347476
Position Surface form Disambiguated ID Type / Status
Subject Ogan River E526376 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Indralaya NE NERFINISHED

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: Indralaya | Statement: [Ogan River, hasNearbySettlement, Indralaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Indralaya
Context triple: [Ogan River, hasNearbySettlement, Indralaya]
  • A. Indralaya chosen
    Indralaya is a town in South Sumatra, Indonesia, known as an educational hub due to hosting the main campus of Sriwijaya University.
  • B. Daramulan
    Daramulan is a powerful ancestral being in Australian Aboriginal mythology, often associated with initiation ceremonies, law, and the spiritual connection between the sky and the earth.
  • C. Balambat
    Balambat is a town and administrative area in Pakistan’s Khyber Pakhtunkhwa province, situated within the mountainous region of Lower Dir.
  • D. Latri Kunda
    Latri Kunda is a neighborhood within the urban area of Serekunda in The Gambia, known for its busy streets and local commerce.
  • E. Indrapura
    Indrapura was a prominent historical capital city of the Champa kingdom in what is now central Vietnam.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51cd5cc81909ac1187971e8a8ad completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8ad2d01b481909d9b4813ff37905c completed April 22, 2026, 11:12 a.m.
Created at: April 16, 2026, 4:56 p.m.