Triple

T4014766
Position Surface form Disambiguated ID Type / Status
Subject Batticaloa Fort E90729 entity
Predicate locatedIn P40 FINISHED
Object Batticaloa E13209 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: Batticaloa | Statement: [Batticaloa Fort, locatedIn, Batticaloa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Batticaloa
Context triple: [Batticaloa Fort, locatedIn, Batticaloa]
  • A. Batticaloa chosen
    Batticaloa is a coastal city in eastern Sri Lanka known historically as an important regional port and trading center.
  • B. Trincomalee
    Trincomalee is a strategically important natural deep-water harbor and coastal city on the northeastern coast of Sri Lanka.
  • C. Jaffna
    Jaffna is a historic city in northern Sri Lanka, known as a cultural and political center of Sri Lankan Tamils and for its strategic coastal location.
  • D. Koggala
    Koggala is a coastal town in southern Sri Lanka known for its scenic beach, lagoon, and proximity to the historic city of Galle.
  • E. Hambantota
    Hambantota is a coastal city in southern Sri Lanka known for its rapid development, including major infrastructure projects like a deep-sea port and international airport.
  • 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_69aed95e44088190aff7d90a151b1b20 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaa5afdc8190b709af2473d75d02 completed March 9, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562922a8c8190b4090f734c11cebb completed March 14, 2026, 1:28 p.m.
Created at: March 9, 2026, 3:35 p.m.