Triple

T21558624
Position Surface form Disambiguated ID Type / Status
Subject Concepción transport network E531956 entity
Predicate connects P390 FINISHED
Object Penco 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: Penco | Statement: [Concepción transport network, connects, Penco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Penco
Context triple: [Concepción transport network, connects, 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. Paeniu
    Paeniu is a family name most notably associated with Bikenibeu Paeniu, a former Prime Minister of Tuvalu.
  • E. Pencoed
    Pencoed is a small town in south Wales, situated near Bridgend and known primarily as a residential and commuter community.
  • 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_69e0c460232c81908de2c3819d17c00e completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eed2e21c5c8190aa32795e41f1550e completed April 27, 2026, 3:07 a.m.
Created at: April 16, 2026, 6:29 p.m.