Triple

T16083761
Position Surface form Disambiguated ID Type / Status
Subject Battle of Penco E390175 entity
Predicate location P40 FINISHED
Object Penco E422377 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: Penco | Statement: [Battle of Penco, location, Penco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Penco
Context triple: [Battle of Penco, location, Penco]
  • A. Penco chosen
    Penco is a coastal Chilean city and commune in the Biobío Region, historically known as the original site of the city of Concepción.
  • B. Greenore
    Greenore is a small coastal village and port on Carlingford Lough in County Louth, Ireland, historically known for its ferry services and railway connections.
  • C. Borrisokane
    Borrisokane is a small rural town in northern County Tipperary, Ireland, known for its agricultural surroundings and traditional Irish community character.
  • D. Pencoed
    Pencoed is a small town in south Wales, situated near Bridgend and known primarily as a residential and commuter community.
  • E. Blaina
    Blaina is a small former coal-mining town in the county borough of Blaenau Gwent in South Wales.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1844cc30481909fd6e56391d09edb completed April 17, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe48cf76c8190bc96168fc2326ffb completed May 10, 2026, 1:51 a.m.
Created at: April 10, 2026, 4:59 a.m.