Triple
T748298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honduras |
E15390
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object |
San Pedro Sula
San Pedro Sula is a large industrial and commercial city in northern Honduras, historically known as the country’s economic hub.
|
E95829
|
NE FINISHED |
How this triple was built (4 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: [Honduras, majorCity, San Pedro Sula]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Pedro Sula Context triple: [Honduras, majorCity, San Pedro Sula]
-
A.
Tegucigalpa
Tegucigalpa is the capital and largest city of Honduras, serving as its political, cultural, and economic center.
-
B.
San Salvador
San Salvador is the largest city of El Salvador and its political, cultural, and economic center.
-
C.
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.
-
D.
Guatemala City
Guatemala City is the capital and largest city of Guatemala, serving as the country’s political, economic, and cultural center.
-
E.
Belize City
Belize City is the largest city and former capital of Belize, serving as the country's main commercial and cultural hub on the Caribbean coast.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: San Pedro Sula Triple: [Honduras, majorCity, San Pedro Sula]
Generated description
San Pedro Sula is a large industrial and commercial city in northern Honduras, historically known as the country’s economic hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: San Pedro Sula Target entity description: San Pedro Sula is a large industrial and commercial city in northern Honduras, historically known as the country’s economic hub.
-
A.
Tegucigalpa
Tegucigalpa is the capital and largest city of Honduras, serving as its political, cultural, and economic center.
-
B.
San Salvador
San Salvador is the largest city of El Salvador and its political, cultural, and economic center.
-
C.
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.
-
D.
Guatemala City
Guatemala City is the capital and largest city of Guatemala, serving as the country’s political, economic, and cultural center.
-
E.
Belize City
Belize City is the largest city and former capital of Belize, serving as the country's main commercial and cultural hub on the Caribbean coast.
- F. None of above. chosen
Provenance (5 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_69a49358aa308190adbc9b5a0a2adcf9 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a62f31888190b80cb0a7220f8d80 |
completed | March 1, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d767e5c8190918d55df7528f465 |
completed | March 3, 2026, 11:23 p.m. |
| NEDg | Description generation | batch_69a7727d46f08190a634f4fecb00b33c |
completed | March 3, 2026, 11:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a774080e24819085b7cdd8e80c74b6 |
completed | March 3, 2026, 11:51 p.m. |
Created at: March 1, 2026, 7:37 p.m.