Triple

T17069021
Position Surface form Disambiguated ID Type / Status
Subject Renca E414164 entity
Predicate capital P234 FINISHED
Object Renca (town) E414164 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: Renca (town) | Statement: [Renca, capital, Renca (town)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Renca (town)
Context triple: [Renca, capital, Renca (town)]
  • A. Renca chosen
    Renca is a commune and urban area in the Santiago Metropolitan Region of Chile, known for its residential neighborhoods and proximity to central Santiago.
  • B. Renai Village
    Renai Village is a small rural settlement located within Nangan Township in Taiwan’s Matsu Islands.
  • C. Rembau town
    Rembau town is a small urban center in Negeri Sembilan, Malaysia, known for serving as the local hub for administration, commerce, and community activities in the surrounding area.
  • D. Oguta town
    Oguta town is a riverside community in Imo State, southeastern Nigeria, known for its proximity to the scenic Oguta Lake and its role as a local commercial and cultural center.
  • E. Resega
    Resega is the former name of the ice hockey arena in Lugano, Switzerland, now known as Cornèr Arena.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbbeb2a48190a733a4cc829c16de completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01235278d48190bacc7881b9eb1ea1 completed May 11, 2026, 12:31 a.m.
Created at: April 10, 2026, 5:34 a.m.