Triple

T12816989
Position Surface form Disambiguated ID Type / Status
Subject Tübingen E306426 entity
Predicate twinTown P1072 FINISHED
Object Villa El Salvador E565919 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: Villa El Salvador | Statement: [Tübingen, twinTown, Villa El Salvador]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Villa El Salvador
Context triple: [Tübingen, twinTown, Villa El Salvador]
  • A. Villa El Salvador chosen
    Villa El Salvador is a large, planned working-class district in southern Lima, Peru, known for its history of organized community development and social housing.
  • B. Villa Alegre
    Villa Alegre is a small rural municipality in Chile’s Maule Region, known for its agricultural activity and traditional central valley landscapes.
  • C. Villa Las Estrellas
    Villa Las Estrellas is a small Chilean civilian settlement and research support community located on King George Island in Antarctica.
  • D. Villa Mercedes
    Villa Mercedes is a major urban and industrial center in central Argentina, located in the province of San Luis.
  • E. Villa Carlos
    Villa Carlos is the former historical name of the town now known as Es Castell, located on the island of Menorca in Spain.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e9d00088190ac0f5d60e1de7a7c completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69b97ffd481909c540f52c781f63f completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:31 p.m.