Triple
T14502338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albay |
E340173
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Camalig
Camalig is a municipality in the Philippine province of Albay known for its historical heritage and proximity to Mayon Volcano.
|
E1107882
|
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: Camalig | Statement: [Albay, hasMunicipality, Camalig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Camalig Context triple: [Albay, hasMunicipality, Camalig]
-
A.
Balamban
Balamban is a coastal municipality in the province of Cebu in the Philippines, known for its shipbuilding industry and growing economic zone.
-
B.
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.
-
C.
Lambuyao
Lambuyao is a barangay (village-level administrative division) within the municipality of Oton in the province of Iloilo, Philippines.
-
D.
Mandalong
Mandalong is a small rural locality in the Central Coast region of New South Wales, Australia, known for its bushland setting and semi-rural residential properties.
-
E.
Malibcong
Malibcong is a remote, mountainous municipality in the Philippine province of Abra known for its indigenous communities and largely undeveloped natural landscapes.
- 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: Camalig Triple: [Albay, hasMunicipality, Camalig]
Generated description
Camalig is a municipality in the Philippine province of Albay known for its historical heritage and proximity to Mayon Volcano.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Camalig Target entity description: Camalig is a municipality in the Philippine province of Albay known for its historical heritage and proximity to Mayon Volcano.
-
A.
Balamban
Balamban is a coastal municipality in the province of Cebu in the Philippines, known for its shipbuilding industry and growing economic zone.
-
B.
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.
-
C.
Lambuyao
Lambuyao is a barangay (village-level administrative division) within the municipality of Oton in the province of Iloilo, Philippines.
-
D.
Mandalong
Mandalong is a small rural locality in the Central Coast region of New South Wales, Australia, known for its bushland setting and semi-rural residential properties.
-
E.
Malibcong
Malibcong is a remote, mountainous municipality in the Philippine province of Abra known for its indigenous communities and largely undeveloped natural landscapes.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e0f9048190a2d266cfa4f9dfb6 |
completed | April 14, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94a7187c81909f173c2fb70509f5 |
completed | May 8, 2026, 7:45 a.m. |
| NEDg | Description generation | batch_69fd96860ba48190af21941197a97c97 |
completed | May 8, 2026, 7:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd974aa0688190916c8d79a68809ee |
completed | May 8, 2026, 7:56 a.m. |
Created at: April 10, 2026, 1:21 a.m.