Triple

T7854037
Position Surface form Disambiguated ID Type / Status
Subject Hualpén E182125 entity
Predicate hasTransportConnection P845 FINISHED
Object Concepción E15421 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: Concepción | Statement: [Hualpén, hasTransportConnection, Concepción]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Concepción
Context triple: [Hualpén, hasTransportConnection, 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 an active stratovolcano located on Ometepe Island in Lake Nicaragua, known for its symmetrical cone shape and frequent eruptions.
  • D. Concepción
    Concepción is a city in northern Paraguay known as a regional commercial and river port hub.
  • E. Concepción
    Concepción is a city in northern Argentina known as an important commercial and agricultural center within Tucumán Province.
  • 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_69ca82869ee08190b8f9040dbc2c0467 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb1a72cfdc8190a3186c4c2894f571 completed March 31, 2026, 12:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccec5f00b48190b35f7cab67e7e5f9 completed April 1, 2026, 9:58 a.m.
Created at: March 30, 2026, 4:51 p.m.