Triple

T16507807
Position Surface form Disambiguated ID Type / Status
Subject Parque Nacional El Boquerón E400975 entity
Predicate hasViewOf P854 FINISHED
Object San Salvador city E15340 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 Salvador city | Statement: [Parque Nacional El Boquerón, hasViewOf, San Salvador city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Salvador city
Context triple: [Parque Nacional El Boquerón, hasViewOf, San Salvador city]
  • A. San Salvador chosen
    San Salvador is the largest city of El Salvador and its political, cultural, and economic center.
  • B. San Pedro Sula
    San Pedro Sula is a large industrial and commercial city in northern Honduras, historically known as the country’s economic hub.
  • C. Xcalakoop San Salvador
    Xcalakoop San Salvador is a locality within the municipality of Tinum in the Mexican state of Yucatán, known for its rural character in the Yucatán Peninsula.
  • D. Tegucigalpa
    Tegucigalpa is the capital and largest city of Honduras, serving as its political, cultural, and economic center.
  • E. Juigalpa
    Juigalpa is a city in central Nicaragua that serves as the capital of the Chontales Department and a regional hub for agriculture and cattle ranching.
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e536e5c8190bef31ab979d2880a completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00b278f85081909b3dd5ae5dbc4f8a completed May 10, 2026, 4:29 p.m.
Created at: April 10, 2026, 5:14 a.m.