Triple
T16396867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Botolan |
E398205
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object |
Cabatuan
Cabatuan is a rural barangay of the municipality of Botolan in the province of Zambales, Philippines.
|
E1245490
|
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: Cabatuan | Statement: [Botolan, hasBarangay, Cabatuan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cabatuan Context triple: [Botolan, hasBarangay, Cabatuan]
-
A.
Cabatuan
Cabatuan is a municipality in the province of Iloilo in the Philippines, known for its historic church and agricultural economy.
-
B.
Bansalan
Bansalan is a municipality in the province of Davao del Sur in the Philippines, known for its agricultural economy and rural communities.
-
C.
Baliuag
Baliuag is a first-class municipality in the province of Bulacan in the Philippines, known as a commercial and educational hub in Central Luzon.
-
D.
Kabankalan
Kabankalan is a major inland city in the province of Negros Occidental in the Philippines, known as a commercial and agricultural hub in the southern part of the island.
-
E.
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.
- 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: Cabatuan Triple: [Botolan, hasBarangay, Cabatuan]
Generated description
Cabatuan is a rural barangay of the municipality of Botolan in the province of Zambales, Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cabatuan Target entity description: Cabatuan is a rural barangay of the municipality of Botolan in the province of Zambales, Philippines.
-
A.
Cabatuan
Cabatuan is a municipality in the province of Iloilo in the Philippines, known for its historic church and agricultural economy.
-
B.
Bansalan
Bansalan is a municipality in the province of Davao del Sur in the Philippines, known for its agricultural economy and rural communities.
-
C.
Baliuag
Baliuag is a first-class municipality in the province of Bulacan in the Philippines, known as a commercial and educational hub in Central Luzon.
-
D.
Kabankalan
Kabankalan is a major inland city in the province of Negros Occidental in the Philippines, known as a commercial and agricultural hub in the southern part of the island.
-
E.
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.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e327cb3c708190b64341cb1410ed81 |
completed | April 18, 2026, 6:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b31b3b4819095d0c24ee471e2a9 |
completed | May 10, 2026, 11:56 p.m. |
| NEDg | Description generation | batch_6a011ba6787081909707739412271348 |
completed | May 10, 2026, 11:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a011c05dbcc81909dda19bc181def21 |
completed | May 11, 2026, midnight |
Created at: April 10, 2026, 5:09 a.m.