Triple

T5993215
Position Surface form Disambiguated ID Type / Status
Subject Ancient City of Sigiriya E133401 entity
Predicate locatedNear P294 FINISHED
Object Dambulla E472038 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: Dambulla | Statement: [Ancient City of Sigiriya, locatedNear, Dambulla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dambulla
Context triple: [Ancient City of Sigiriya, locatedNear, Dambulla]
  • A. Dambulla chosen
    Dambulla is a historic town in Sri Lanka best known for its UNESCO-listed cave temple complex featuring ancient Buddhist murals and statues.
  • B. Kegalle
    Kegalle is a major town in central Sri Lanka known for its rubber plantations and proximity to the Pinnawala Elephant Orphanage.
  • C. Badulla
    Badulla is a major town in Sri Lanka’s central highlands, known as the capital of Uva Province and a regional hub surrounded by tea plantations and scenic mountain landscapes.
  • D. Ambalangoda
    Ambalangoda is a coastal town in southwestern Sri Lanka known for its traditional mask carving and puppet arts.
  • E. Gampola
    Gampola is a historic town in Sri Lanka known for its former status as a medieval capital and its scenic hill-country setting.
  • 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_69c00870ddbc81909880fa3864f4f38d completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04e9189908190abc9c742b38dfabc completed March 22, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1413ca5f88190b0dab30bde04af4c completed March 23, 2026, 1:33 p.m.
Created at: March 22, 2026, 4:05 p.m.