Triple

T4153965
Position Surface form Disambiguated ID Type / Status
Subject 2010 Chile earthquake E89971 entity
Predicate affectedCity P10973 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: [2010 Chile earthquake, affectedCity, Concepción]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Concepción
Context triple: [2010 Chile earthquake, affectedCity, 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. Concepcion
    Concepcion is a municipality in the province of Tarlac in the Philippines, known primarily as an agricultural town in Central Luzon.
  • 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_69aed95a59a881909b26e70b42c6811a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af027954008190a28841802055afe8 completed March 9, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdb8f4eab88190b123aca20feb8d63 completed March 20, 2026, 9:15 p.m.
Created at: March 9, 2026, 3:44 p.m.