Triple

T22420449
Position Surface form Disambiguated ID Type / Status
Subject Victoria Dam E554230 entity
Predicate locatedNear P294 FINISHED
Object Teldeniya 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: Teldeniya | Statement: [Victoria Dam, locatedNear, Teldeniya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teldeniya
Context triple: [Victoria Dam, locatedNear, Teldeniya]
  • A. Teldeniya chosen
    Teldeniya is a town in Sri Lanka’s Central Province known for its proximity to the Victoria Reservoir and surrounding hill-country landscapes.
  • B. Tetawo
    Tetawo is an alternative name for the Tanema language, a nearly extinct Oceanic language once spoken in the Solomon Islands.
  • C. Tyndis
    Tyndis was an important ancient port city on the Malabar Coast of South India, serving as a key hub in Indian Ocean trade networks under the Chera dynasty.
  • D. Telesia
    Telesia was an important ancient town in the region of Samnium in south-central Italy, known for its strategic and military significance in pre-Roman and Roman times.
  • E. Teteven
    Teteven is a picturesque town in central Bulgaria, known for its mountainous scenery, rivers, and role as a regional cultural and tourist center.
  • 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_69e11e4f2d0c819091aa3558ea2ee630 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1594a58508190b41fd16c8de5f8b4 completed April 29, 2026, 1:05 a.m.
Created at: April 16, 2026, 8:46 p.m.