Triple

T4879576
Position Surface form Disambiguated ID Type / Status
Subject Cerro Huelén E109290 entity
Predicate originalName P65 FINISHED
Object Huelén E129703 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: Huelén | Statement: [Cerro Huelén, originalName, Huelén]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huelén
Context triple: [Cerro Huelén, originalName, Huelén]
  • A. Huelén chosen
    Huelén is the former indigenous name for Cerro Santa Lucía, a historic hill and urban park in central Santiago, Chile.
  • B. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • C. Suhre
    The Suhre is a river in Switzerland that flows through the cantons of Lucerne and Aargau before joining the Aare.
  • D. Freirina
    Freirina is a small town and commune in northern Chile known for its agricultural activity and historic architecture within the Atacama Region.
  • E. Shillem
    Shillem is a minor biblical figure mentioned in the Hebrew Bible as a descendant within the tribe of Naphtali.
  • 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_69bd440e9d64819083e82cf33b4d9570 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6dbf37ac819085bb758bc6406271 completed March 20, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69be7795665081909471da57b980e7bd completed March 21, 2026, 10:48 a.m.
Created at: March 20, 2026, 1:27 p.m.