Triple
T4264959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chocolate Hills |
E96802
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object |
Sagbayan
Sagbayan is a municipality in the province of Bohol in the Philippines, known as one of the viewing points and access towns for the famous Chocolate Hills.
|
E427553
|
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: Sagbayan | Statement: [Chocolate Hills, nearbyTown, Sagbayan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sagbayan Context triple: [Chocolate Hills, nearbyTown, Sagbayan]
-
A.
Timugan
Timugan is a barangay (village-level administrative division) in the municipality of Los Baños in the province of Laguna, Philippines.
-
B.
Lalakay
Lalakay is a barangay (village-level administrative division) within the municipality of Los Baños in the province of Laguna, Philippines.
-
C.
Mambusao
Mambusao is a rural municipality in the province of Capiz in the Western Visayas region of the Philippines, known for its agricultural economy and small-town community life.
-
D.
Surigaonon
Surigaonon is a Visayan language spoken primarily in the Caraga region of northeastern Mindanao in the Philippines.
-
E.
Binangonan
Binangonan is a lakeside municipality in the province of Rizal, Philippines, known for its fishing communities, scenic views, and proximity to Metro Manila.
- 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: Sagbayan Triple: [Chocolate Hills, nearbyTown, Sagbayan]
Generated description
Sagbayan is a municipality in the province of Bohol in the Philippines, known as one of the viewing points and access towns for the famous Chocolate Hills.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sagbayan Target entity description: Sagbayan is a municipality in the province of Bohol in the Philippines, known as one of the viewing points and access towns for the famous Chocolate Hills.
-
A.
Timugan
Timugan is a barangay (village-level administrative division) in the municipality of Los Baños in the province of Laguna, Philippines.
-
B.
Lalakay
Lalakay is a barangay (village-level administrative division) within the municipality of Los Baños in the province of Laguna, Philippines.
-
C.
Mambusao
Mambusao is a rural municipality in the province of Capiz in the Western Visayas region of the Philippines, known for its agricultural economy and small-town community life.
-
D.
Surigaonon
Surigaonon is a Visayan language spoken primarily in the Caraga region of northeastern Mindanao in the Philippines.
-
E.
Binangonan
Binangonan is a lakeside municipality in the province of Rizal, Philippines, known for its fishing communities, scenic views, and proximity to Metro Manila.
- 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_69b34543f06c8190915ebb1a4574ffa9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34fcad0a881908e1cac0a6da5a321 |
completed | March 12, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b79455f48190b48b1359b223e0f7 |
completed | March 14, 2026, 7:31 p.m. |
| NEDg | Description generation | batch_69b5b83759c08190b080565bb1ac8bb4 |
completed | March 14, 2026, 7:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5b8be90c88190a4852c625e326f6b |
completed | March 14, 2026, 7:36 p.m. |
Created at: March 12, 2026, 11:06 p.m.