Triple

T13970217
Position Surface form Disambiguated ID Type / Status
Subject El Carmen Canton E336040 entity
Predicate hasCapital P204 FINISHED
Object El Carmen E329467 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: El Carmen | Statement: [El Carmen Canton, hasCapital, El Carmen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: El Carmen
Context triple: [El Carmen Canton, hasCapital, El Carmen]
  • A. El Carmen chosen
    El Carmen is a town in coastal Ecuador known as an agricultural and commercial center within Manabí Province.
  • B. San Pedrito
    San Pedrito is a subway station in Buenos Aires that serves as the western terminus of the city's historic Line A.
  • C. Barranquitas
    Barranquitas is a mountainous inland municipality of Puerto Rico known for its cool climate, scenic views, and traditional cultural festivals.
  • D. San Cristóbal de la Barranca
    San Cristóbal de la Barranca is a small municipality in the state of Jalisco, Mexico, known for its deep canyon landscapes and hot springs along the Santiago River.
  • E. Candelaria
    Candelaria is a coastal town and important pilgrimage center on the island of Tenerife in Spain’s Canary Islands, known for the Basilica of Our Lady of Candelaria.
  • 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e8daeac8190aadd4b3b60222482 completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1dc838c8190bbcfefd69ea29965 completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:18 p.m.