Triple

T16836690
Position Surface form Disambiguated ID Type / Status
Subject Uva E409300 entity
Predicate majorTown P316 FINISHED
Object Haputale E464577 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: Haputale | Statement: [Uva, majorTown, Haputale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haputale
Context triple: [Uva, majorTown, Haputale]
  • A. Haputale chosen
    Haputale is a scenic hill town in Sri Lanka known for its cool climate, tea plantations, and panoramic views over the surrounding valleys and plains.
  • B. Yumbel
    Yumbel is a small Chilean city known for its religious festivities and agricultural surroundings in the Biobío Region.
  • C. Tatopani
    Tatopani is a popular village stop along Nepal’s Annapurna trekking routes, known for its natural hot springs and riverside setting in the Kali Gandaki valley.
  • D. Gotihawa
    Gotihawa is an ancient village in southern Nepal recognized as an important Buddhist archaeological site traditionally associated with the birthplace of the Buddha’s predecessor, Krakucchanda.
  • E. Namasole
    Namasole is the traditional title given to the queen mother in the cultural and political hierarchy of the Baganda people of Uganda.
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b34d49d08190aa62f05d67244584 completed April 18, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb15c9f48190a4d73bb08a15beb4 completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:23 a.m.