Triple
T13769239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cortés Department |
E330832
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | San Pedro Sula |
E95829
|
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 Pedro Sula | Statement: [Cortés Department, containsCity, San Pedro Sula]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Pedro Sula Context triple: [Cortés Department, containsCity, San Pedro Sula]
-
A.
San Pedro Sula
chosen
San Pedro Sula is a large industrial and commercial city in northern Honduras, historically known as the country’s economic hub.
-
B.
Tegucigalpa
Tegucigalpa is the capital and largest city of Honduras, serving as its political, cultural, and economic center.
-
C.
San Salvador
San Salvador is the largest city of El Salvador and its political, cultural, and economic center.
-
D.
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.
-
E.
Puerto Barrios
Puerto Barrios is a major Caribbean seaport city in eastern Guatemala that serves as an important commercial gateway for the country.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0233ecc48190b934f085d2501eb1 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8d28cc88190af46b86473af0a1c |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:10 p.m.