Triple

T11671567
Position Surface form Disambiguated ID Type / Status
Subject San Salvador Department E277393 entity
Predicate contains P35 FINISHED
Object Soyapango E472071 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: Soyapango | Statement: [San Salvador Department, contains, Soyapango]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soyapango
Context triple: [San Salvador Department, contains, Soyapango]
  • A. Soyapango chosen
    Soyapango is a densely populated municipality in the San Salvador department of El Salvador, known as an important industrial and residential suburb of the capital city.
  • B. Choloma
    Choloma is a rapidly growing industrial city in northern Honduras known for its large concentration of maquiladora factories and manufacturing activity.
  • C. Ocotal
    Ocotal is a city in northern Nicaragua known as the capital of the Nueva Segovia department and for its historical role in the country's political and military conflicts.
  • D. Puerto Barrios
    Puerto Barrios is a major Caribbean seaport city in eastern Guatemala that serves as an important commercial gateway for the country.
  • E. Puerto Morazán
    Puerto Morazán is a coastal town and port in northwestern Nicaragua situated along the Gulf of Fonseca, known for its fishing and maritime activities.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a44264c08190ba1a4a5bcdc9367b completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef13d3a8608190a084d8bbcac4f924 completed April 27, 2026, 7:44 a.m.
Created at: April 8, 2026, 9:40 p.m.