Triple
T15933059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bacolor |
E386368
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object |
Bacoleña
Bacoleña is the Spanish-derived demonym referring to a female resident or native of Bacolor, a municipality in the Philippines.
|
E1188589
|
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: Bacoleña | Statement: [Bacolor, hasDemonym, Bacoleña]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bacoleña Context triple: [Bacolor, hasDemonym, Bacoleña]
-
A.
Malibcong
Malibcong is a remote, mountainous municipality in the Philippine province of Abra known for its indigenous communities and largely undeveloped natural landscapes.
-
B.
Babahoyense
Babahoyense refers to the inhabitants or natives of Babahoyo, a city in Ecuador’s Los Ríos Province.
-
C.
Bayan ng Poro
Bayan ng Poro is a municipality in the province of Cebu in the Philippines, located on Poro Island in the Camotes Sea.
-
D.
Bungsuan
Bungsuan is a barangay (village-level administrative division) of the municipality of Dumalag in the province of Capiz, Philippines.
-
E.
Babatngon
Babatngon is a coastal municipality in the province of Leyte in the Philippines, known for its fishing industry and rural communities.
- 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: Bacoleña Triple: [Bacolor, hasDemonym, Bacoleña]
Generated description
Bacoleña is the Spanish-derived demonym referring to a female resident or native of Bacolor, a municipality in the Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bacoleña Target entity description: Bacoleña is the Spanish-derived demonym referring to a female resident or native of Bacolor, a municipality in the Philippines.
-
A.
Malibcong
Malibcong is a remote, mountainous municipality in the Philippine province of Abra known for its indigenous communities and largely undeveloped natural landscapes.
-
B.
Babahoyense
Babahoyense refers to the inhabitants or natives of Babahoyo, a city in Ecuador’s Los Ríos Province.
-
C.
Bayan ng Poro
Bayan ng Poro is a municipality in the province of Cebu in the Philippines, located on Poro Island in the Camotes Sea.
-
D.
Bungsuan
Bungsuan is a barangay (village-level administrative division) of the municipality of Dumalag in the province of Capiz, Philippines.
-
E.
Babatngon
Babatngon is a coastal municipality in the province of Leyte in the Philippines, known for its fishing industry and rural communities.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156a6d9b88190b461d12d69b12ac0 |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3bd67f48190aee4f892206d9326 |
completed | May 9, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69ffc621ef1c8190933238291d69d7e1 |
completed | May 9, 2026, 11:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffc6c0792c8190af7945983b7bb25a |
completed | May 9, 2026, 11:44 p.m. |
Created at: April 10, 2026, 4:53 a.m.