Triple

T19734085
Position Surface form Disambiguated ID Type / Status
Subject Itata Province E473929 entity
Predicate containsSettlement P847 FINISHED
Object Coelemu 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: Coelemu | Statement: [Itata Province, containsSettlement, Coelemu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coelemu
Context triple: [Itata Province, containsSettlement, Coelemu]
  • A. Coelemu chosen
    Coelemu is a town and commune in Chile’s Ñuble Region, located near the Pacific coast in the Itata River valley.
  • B. Makaroa
    Makaroa is one of the smaller, remote islands in the Gambier Islands archipelago of French Polynesia in the South Pacific Ocean.
  • C. Naula
    Naula is a small town in Sri Lanka’s Central Province, known as a junction point on the Kandy–Jaffna road within the Matale District.
  • D. Orongo
    Orongo is a ceremonial stone village and archaeological site on Easter Island, best known for its role in the Birdman cult and its dramatic clifftop setting overlooking the ocean.
  • E. Mokuola
    Mokuola is a small, lush island in Hilo Bay on Hawaii’s Big Island, known for its tranquil park, tidal pools, and scenic views of the bay and Mauna Kea.
  • 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6515b4d308190af3be1787fa7c65b completed April 20, 2026, 4:16 p.m.
Created at: April 10, 2026, 1:47 p.m.