Triple

T11191965
Position Surface form Disambiguated ID Type / Status
Subject Bardez taluka E264823 entity
Predicate hasMajorTown P316 FINISHED
Object Candolim E256243 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: Candolim | Statement: [Bardez taluka, hasMajorTown, Candolim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Candolim
Context triple: [Bardez taluka, hasMajorTown, Candolim]
  • A. Candolim Beach chosen
    Candolim Beach is a popular yet relatively tranquil beach in North Goa, India, known for its long sandy shoreline, water sports, and vibrant shacks and nightlife.
  • B. Kalady
    Kalady is a village in the Indian state of Kerala, revered as the birthplace of the 8th-century philosopher and theologian Adi Shankaracharya and an important Hindu pilgrimage center.
  • C. Panambi
    Panambi is a city in southern Brazil known for its strong German-Brazilian cultural heritage and traditions.
  • D. Udupi
    Udupi is a coastal city in the Indian state of Karnataka, renowned for its historic Krishna temple, distinctive Udupi cuisine, and cultural and educational institutions.
  • E. Sanquelim
    Sanquelim is a small town in the Indian state of Goa, known for its scenic surroundings and proximity to the region’s mining and agricultural areas.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8be025481909d311b587418dfb2 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e483ec6ca8819082713a278c987756 completed April 19, 2026, 7:27 a.m.
Created at: April 8, 2026, 9:29 p.m.