Triple
T13388600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Comayagua Department |
E319508
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
San Sebastián
San Sebastián is a small town located within the Comayagua Department of central Honduras.
|
E1041019
|
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 Sebastián | Statement: [Comayagua Department, hasSettlement, San Sebastián]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Sebastián Context triple: [Comayagua Department, hasSettlement, San Sebastián]
-
A.
San Sebastián
San Sebastián is a Guatemalan town located in the highlands of the San Marcos department, known for its proximity to Central America’s highest peak, Volcán Tajumulco.
-
B.
Donostia-San Sebastián
Donostia-San Sebastián is a coastal city in Spain’s Basque Country renowned for its picturesque bay, beaches, and world-class gastronomy.
-
C.
Bilbao
Bilbao is a major port city in northern Spain renowned for its industrial heritage, cultural institutions like the Guggenheim Museum, and role as an economic hub of the Basque Country.
-
D.
Bilbao
Bilbao is a station on Madrid's Metro network, serving Line 1 and located in the central Chamberí district.
-
E.
Pamplona
Pamplona is a historic Colombian city in the Andean region known for its colonial architecture, religious heritage, and role as an educational and cultural center.
- 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 Sebastián Triple: [Comayagua Department, hasSettlement, San Sebastián]
Generated description
San Sebastián is a small town located within the Comayagua Department of central Honduras.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: San Sebastián Target entity description: San Sebastián is a small town located within the Comayagua Department of central Honduras.
-
A.
San Sebastián
San Sebastián is a Guatemalan town located in the highlands of the San Marcos department, known for its proximity to Central America’s highest peak, Volcán Tajumulco.
-
B.
Donostia-San Sebastián
Donostia-San Sebastián is a coastal city in Spain’s Basque Country renowned for its picturesque bay, beaches, and world-class gastronomy.
-
C.
Bilbao
Bilbao is a station on Madrid's Metro network, serving Line 1 and located in the central Chamberí district.
-
D.
Bilbao
Bilbao is a major port city in northern Spain renowned for its industrial heritage, cultural institutions like the Guggenheim Museum, and role as an economic hub of the Basque Country.
-
E.
Pamplona
Pamplona is a historic Colombian city in the Andean region known for its colonial architecture, religious heritage, and role as an educational and cultural center.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dba0d3a40081909ba49556130ad0e7 |
completed | April 12, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73981816881908aac3ab6b1921904 |
completed | May 3, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69f73df533e08190b946a30e99119e4f |
completed | May 3, 2026, 12:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73ea1d4dc8190b388601b1aa93d58 |
completed | May 3, 2026, 12:25 p.m. |
Created at: April 9, 2026, 9:34 p.m.