Triple
T20025965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Municipality of Malay |
E494981
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object |
Argao
Argao is a barangay (village-level administrative division) within the Municipality of Malay in the Philippines.
|
E1432710
|
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: Argao | Statement: [Municipality of Malay, hasBarangay, Argao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Argao Context triple: [Municipality of Malay, hasBarangay, Argao]
-
A.
Argao
Argao is a coastal municipality in the southeastern part of Cebu, Philippines, known for its Spanish-era heritage structures and traditional delicacies.
-
B.
Pagbilao
Pagbilao is a coastal municipality in the province of Quezon, Philippines, known for its power plant, beaches, and mangrove forests.
-
C.
Calapan
Calapan is the capital city of Oriental Mindoro in the Philippines, serving as a key commercial and transportation hub in the Mimaropa region.
-
D.
Calasiao
Calasiao is a municipality in the Philippine province of Pangasinan known for its historic churches and famous native rice cakes called "puto Calasiao."
-
E.
Calbayog
Calbayog is a coastal city in the province of Samar in the Philippines, known as a regional hub for trade, culture, and transportation in Eastern Visayas.
- 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: Argao Triple: [Municipality of Malay, hasBarangay, Argao]
Generated description
Argao is a barangay (village-level administrative division) within the Municipality of Malay in the Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Argao Target entity description: Argao is a barangay (village-level administrative division) within the Municipality of Malay in the Philippines.
-
A.
Argao
Argao is a coastal municipality in the southeastern part of Cebu, Philippines, known for its Spanish-era heritage structures and traditional delicacies.
-
B.
Pagbilao
Pagbilao is a coastal municipality in the province of Quezon, Philippines, known for its power plant, beaches, and mangrove forests.
-
C.
Calapan
Calapan is the capital city of Oriental Mindoro in the Philippines, serving as a key commercial and transportation hub in the Mimaropa region.
-
D.
Calasiao
Calasiao is a municipality in the Philippine province of Pangasinan known for its historic churches and famous native rice cakes called "puto Calasiao."
-
E.
Calbayog
Calbayog is a coastal city in the province of Samar in the Philippines, known as a regional hub for trade, culture, and transportation in Eastern Visayas.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6628d5b8c8190a35f95ac4a016550 |
completed | April 20, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a088af8db308190afb69c173d8f24ee |
completed | May 16, 2026, 3:19 p.m. |
| NEDg | Description generation | batch_6a088c9b40788190b76ef5c582996d34 |
completed | May 16, 2026, 3:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a088d186a38819085c8809560e94745 |
completed | May 16, 2026, 3:28 p.m. |
Created at: April 11, 2026, 3:35 p.m.