Triple
T23461563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suchitepéquez Department |
E568988
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Santa Bárbara
Santa Bárbara is a municipality in southwestern Guatemala located within the Suchitepéquez Department.
|
E1589749
|
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: Santa Bárbara | Statement: [Suchitepéquez Department, hasMunicipality, Santa Bárbara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santa Bárbara Context triple: [Suchitepéquez Department, hasMunicipality, Santa Bárbara]
-
A.
Santa Bárbara
Santa Bárbara is a small Chilean town in the Biobío Region known for its rural character and proximity to the Biobío River and surrounding forests.
-
B.
Santa Bárbara
Santa Bárbara is a locality within the Mexican state of Nueva Vizcaya, historically part of New Spain in the colonial era.
-
C.
Santa Bárbara
Santa Bárbara is a civil parish within the municipality of Vila do Porto in the Azores, Portugal.
-
D.
Santa Bárbara
Santa Bárbara is a civil parish within the municipality of Ponta Delgada in the Azores, Portugal.
-
E.
San Benito
San Benito is a small coastal town on Siargao Island in the Philippines, known for its laid-back atmosphere, fishing communities, and access to surfing and island-hopping spots.
- 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: Santa Bárbara Triple: [Suchitepéquez Department, hasMunicipality, Santa Bárbara]
Generated description
Santa Bárbara is a municipality in southwestern Guatemala located within the Suchitepéquez Department.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Santa Bárbara Target entity description: Santa Bárbara is a municipality in southwestern Guatemala located within the Suchitepéquez Department.
-
A.
Santa Bárbara
Santa Bárbara is a small Chilean town in the Biobío Region known for its rural character and proximity to the Biobío River and surrounding forests.
-
B.
Santa Bárbara
Santa Bárbara is a civil parish within the municipality of Ponta Delgada in the Azores, Portugal.
-
C.
Santa Bárbara
Santa Bárbara is a locality within the Mexican state of Nueva Vizcaya, historically part of New Spain in the colonial era.
-
D.
Santa Bárbara
Santa Bárbara is a civil parish within the municipality of Vila do Porto in the Azores, Portugal.
-
E.
San Benito
San Benito is a small coastal town on Siargao Island in the Philippines, known for its laid-back atmosphere, fishing communities, and access to surfing and island-hopping spots.
- 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a69bc200819096ed2baf25cdee4f |
completed | April 29, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c825113588190a251450dc28f737b |
completed | May 19, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_6a0ca6eee2f48190b4e03039c4c96abe |
completed | May 19, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ca819f6dc8190852bb3c06768ac5a |
completed | May 19, 2026, 6:12 p.m. |
Created at: April 17, 2026, 5:54 p.m.