Triple
T11291491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masbate |
E267334
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Claveria
Claveria is a coastal municipality in the Philippine province of Masbate known for its fishing communities and rural island landscapes.
|
E945151
|
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: Claveria | Statement: [Masbate, hasMunicipality, Claveria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Claveria Context triple: [Masbate, hasMunicipality, Claveria]
-
A.
Claveria
Claveria is a coastal municipality in the Philippines known for its location along Macajalar Bay in Northern Mindanao.
-
B.
Bucoda
Bucoda is a small town in Thurston County, Washington, known for its historic coal-mining roots and its claim as the "World's Tiniest Town with the Biggest Halloween Spirit."
-
C.
Balayan
Balayan is a historic coastal municipality in the province of Batangas in the Philippines, known for its heritage houses and annual Parada ng Lechon festival.
-
D.
Isabelo
Isabelo is a masculine given name of Spanish origin, notably borne by Filipino writer and politician Isabelo de los Reyes.
-
E.
Malapatan
Malapatan is a coastal municipality in the province of Sarangani in the Philippines, known for its diverse indigenous communities and agricultural economy.
- 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: Claveria Triple: [Masbate, hasMunicipality, Claveria]
Generated description
Claveria is a coastal municipality in the Philippine province of Masbate known for its fishing communities and rural island landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Claveria Target entity description: Claveria is a coastal municipality in the Philippine province of Masbate known for its fishing communities and rural island landscapes.
-
A.
Claveria
Claveria is a coastal municipality in the Philippines known for its location along Macajalar Bay in Northern Mindanao.
-
B.
Bucoda
Bucoda is a small town in Thurston County, Washington, known for its historic coal-mining roots and its claim as the "World's Tiniest Town with the Biggest Halloween Spirit."
-
C.
Balayan
Balayan is a historic coastal municipality in the province of Batangas in the Philippines, known for its heritage houses and annual Parada ng Lechon festival.
-
D.
Isabelo
Isabelo is a masculine given name of Spanish origin, notably borne by Filipino writer and politician Isabelo de los Reyes.
-
E.
Malapatan
Malapatan is a coastal municipality in the province of Sarangani in the Philippines, known for its diverse indigenous communities and agricultural economy.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e989fdac81909a4a75f1f68b55c6 |
completed | April 9, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f08f0d9d0c8190a7b84e647c7491e9 |
completed | April 28, 2026, 10:42 a.m. |
| NEDg | Description generation | batch_69f0bd36673881908530b68e496c3d2e |
completed | April 28, 2026, 1:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f0eec1f5d081908624fe2a93995fe5 |
completed | April 28, 2026, 5:30 p.m. |
Created at: April 8, 2026, 9:32 p.m.