Triple

T21558619
Position Surface form Disambiguated ID Type / Status
Subject Concepción transport network E531956 entity
Predicate connects P390 FINISHED
Object Concepción 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: Concepción | Statement: [Concepción transport network, connects, Concepción]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Concepción
Context triple: [Concepción transport network, connects, Concepción]
  • A. Concepción chosen
    Concepción is a major Chilean city in the south-central part of the country, known as an important industrial, commercial, and educational center.
  • B. Concepción
    Concepción was one of the ships in Ferdinand Magellan’s expedition that took part in the first circumnavigation of the globe.
  • C. Concepción
    Concepción is a city in northern Paraguay known as a regional commercial and river port hub.
  • D. Concepción
    Concepción is the flirtatious and cunning clockmaker’s wife at the center of Maurice Ravel’s comic opera "L’heure espagnole," around whom the farcical romantic intrigues revolve.
  • E. Concepción
    Concepción is a Spanish feminine given name, often associated with traditional Catholic devotion to the Immaculate Conception.
  • 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.