Triple

T18116660
Position Surface form Disambiguated ID Type / Status
Subject Moyogalpa E433621 entity
Predicate connectsTo P845 FINISHED
Object San Jorge E1254056 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: San Jorge | Statement: [Moyogalpa, connectsTo, San Jorge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Jorge
Context triple: [Moyogalpa, connectsTo, San Jorge]
  • A. San Jorge
    San Jorge is a town located within the San Miguel Department of El Salvador, known for its local agriculture and small-community character.
  • B. San Jorge chosen
    San Jorge is a municipality located in the Rivas Department of southwestern Nicaragua, known for its proximity to Lake Nicaragua and serving as a transit point to Ometepe Island.
  • C. San Policarpo
    San Policarpo is a coastal municipality in the province of Eastern Samar in the Philippines, known for its fishing communities and exposure to Pacific typhoons.
  • D. San Martín de la Vega
    San Martín de la Vega is a municipality in the Community of Madrid, Spain, known for hosting the Parque Warner Madrid theme park.
  • E. San Martín del Rey Aurelio
    San Martín del Rey Aurelio is a municipality in Asturias, northern Spain, historically known for its coal mining industry within the Asturian mining basin.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd67a2481909d27a4a49b095f8c completed April 19, 2026, 1:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a037c40b66c819095d90006fa7ecc37 completed May 12, 2026, 7:15 p.m.
Created at: April 10, 2026, 10:28 a.m.