Triple
T18768821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalibo, Aklan |
E458959
|
entity |
| Predicate | hasBarangays |
P13208
|
FINISHED |
| Object |
Tinigao
Tinigao is a barangay (village-level administrative division) within the municipality of Kalibo in the province of Aklan, Philippines.
|
E1346483
|
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: Tinigao | Statement: [Kalibo, Aklan, hasBarangays, Tinigao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tinigao Context triple: [Kalibo, Aklan, hasBarangays, Tinigao]
-
A.
Cauayan
Cauayan is a rapidly developing component city located in the province of Isabela in the Cagayan Valley region of the Philippines.
-
B.
Dipaculao
Dipaculao is a coastal municipality in the Philippine province of Aurora known for its beaches, surfing spots, and scenic mountain landscapes.
-
C.
Nabunturan
Nabunturan is a landlocked municipality in the Philippines known as the administrative and commercial center of the province of Davao de Oro on Mindanao island.
-
D.
Balingasag
Balingasag is a coastal municipality in Misamis Oriental, Philippines, known for its fishing communities and access to Macajalar Bay.
-
E.
Itogon
Itogon is a mountainous municipality in Benguet province in the Philippines, known for its mining industry and scenic river valleys.
- 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: Tinigao Triple: [Kalibo, Aklan, hasBarangays, Tinigao]
Generated description
Tinigao is a barangay (village-level administrative division) within the municipality of Kalibo in the province of Aklan, Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tinigao Target entity description: Tinigao is a barangay (village-level administrative division) within the municipality of Kalibo in the province of Aklan, Philippines.
-
A.
Cauayan
Cauayan is a rapidly developing component city located in the province of Isabela in the Cagayan Valley region of the Philippines.
-
B.
Dipaculao
Dipaculao is a coastal municipality in the Philippine province of Aurora known for its beaches, surfing spots, and scenic mountain landscapes.
-
C.
Nabunturan
Nabunturan is a landlocked municipality in the Philippines known as the administrative and commercial center of the province of Davao de Oro on Mindanao island.
-
D.
Balingasag
Balingasag is a coastal municipality in Misamis Oriental, Philippines, known for its fishing communities and access to Macajalar Bay.
-
E.
Itogon
Itogon is a mountainous municipality in Benguet province in the Philippines, known for its mining industry and scenic river valleys.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e58d867264819098ae35c9feab3bb4 |
completed | April 20, 2026, 2:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0575a64100819097e3dbaf8aa34756 |
completed | May 14, 2026, 7:11 a.m. |
| NEDg | Description generation | batch_6a0576fd0ab48190a4aecef36a611e90 |
completed | May 14, 2026, 7:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0577901df48190aa16a0c31704de34 |
completed | May 14, 2026, 7:19 a.m. |
Created at: April 10, 2026, 11:52 a.m.