Triple

T4729117
Position Surface form Disambiguated ID Type / Status
Subject Quillota E104958 entity
Predicate nearbyCity P350 FINISHED
Object Limache E385114 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: Limache | Statement: [Quillota, nearbyCity, Limache]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Limache
Context triple: [Quillota, nearbyCity, Limache]
  • A. Limache chosen
    Limache is a Chilean city and commune in the Valparaíso Region, known for its agricultural production and traditional festivals.
  • B. Lampetia
    Lampetia is a figure from Greek mythology, traditionally known as one of the daughters of the sun god Helios who watches over his sacred cattle.
  • C. Pothia
    Pothia is the main town and administrative center of the Greek island of Kalymnos, known for its colorful hillside houses and harbor.
  • D. Tarichaea
    Tarichaea was an ancient fortified town on the western shore of the Sea of Galilee, known as a major center of Jewish resistance during the First Jewish–Roman War.
  • E. Lachania
    Lachania is a traditional seaside village on the southern coast of Rhodes in Greece, known for its restored whitewashed houses and tranquil, picturesque setting.
  • 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_69bd43ed84648190ae0b7ee8e8d00482 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd646135c881909030c21a163cc619 completed March 20, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be10a4bc0481908935278afb13503d completed March 21, 2026, 3:29 a.m.
Created at: March 20, 2026, 1:19 p.m.