Triple

T7098037
Position Surface form Disambiguated ID Type / Status
Subject Hambantota E165380 entity
Predicate nearbyCity P350 FINISHED
Object Tangalle E321673 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: Tangalle | Statement: [Hambantota, nearbyCity, Tangalle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tangalle
Context triple: [Hambantota, nearbyCity, Tangalle]
  • A. Tangalle chosen
    Tangalle is a coastal town in southern Sri Lanka known for its beaches, fishing harbor, and relaxed seaside atmosphere.
  • B. Ponda
    Ponda is a town in the Indian state of Goa known for its temples, spice plantations, and proximity to major rivers and forested areas.
  • C. Campomoro
    Campomoro is a small coastal village and seaside resort on the southwest coast of Corsica, known for its scenic bay and historic Genoese tower.
  • D. Agatti
    Agatti is a small coral island in India's Lakshadweep archipelago, known for its turquoise lagoon, white-sand beaches, and the main airport connecting the islands to the mainland.
  • E. Vilankulo
    Vilankulo is a coastal town in southern Mozambique known as the main gateway to the nearby Bazaruto Archipelago and its popular beach and marine tourism.
  • 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_69c6887fcddc8190a5d58908f6dee590 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e5561dd08190be6b784754a0c1bc completed March 27, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79ca2be7c8190b5a8c6f2c64a0d8d completed March 28, 2026, 9:17 a.m.
Created at: March 27, 2026, 2:42 p.m.