Triple
T10397912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Misamis Oriental |
E245068
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Binuangan
Binuangan is a coastal municipality in the province of Misamis Oriental in the Philippines, known for its fishing communities and rural character.
|
E861635
|
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: Binuangan | Statement: [Misamis Oriental, hasMunicipality, Binuangan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Binuangan Context triple: [Misamis Oriental, hasMunicipality, Binuangan]
-
A.
Binalong
Binalong is a small rural village in New South Wales, Australia, known for its historic buildings and pastoral surroundings.
-
B.
Binongko
Binongko is an island in Indonesia’s Wakatobi archipelago, known for its traditional blacksmithing culture and remote, rugged coastal landscapes.
-
C.
Binangonan
Binangonan is a lakeside municipality in the province of Rizal, Philippines, known for its fishing communities, scenic views, and proximity to Metro Manila.
-
D.
Binukid
Binukid is an Austronesian language of the Manobo people in the Philippines, primarily used in the Bukidnon highlands of Mindanao.
-
E.
Biliran
Biliran is an island province in the central Philippines known for its volcanic landscapes, waterfalls, and coastal scenery.
- 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: Binuangan Triple: [Misamis Oriental, hasMunicipality, Binuangan]
Generated description
Binuangan is a coastal municipality in the province of Misamis Oriental in the Philippines, known for its fishing communities and rural character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Binuangan Target entity description: Binuangan is a coastal municipality in the province of Misamis Oriental in the Philippines, known for its fishing communities and rural character.
-
A.
Binalong
Binalong is a small rural village in New South Wales, Australia, known for its historic buildings and pastoral surroundings.
-
B.
Binongko
Binongko is an island in Indonesia’s Wakatobi archipelago, known for its traditional blacksmithing culture and remote, rugged coastal landscapes.
-
C.
Binangonan
Binangonan is a lakeside municipality in the province of Rizal, Philippines, known for its fishing communities, scenic views, and proximity to Metro Manila.
-
D.
Binukid
Binukid is an Austronesian language of the Manobo people in the Philippines, primarily used in the Bukidnon highlands of Mindanao.
-
E.
Biliran
Biliran is an island province in the central Philippines known for its volcanic landscapes, waterfalls, and coastal scenery.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9d0de448190b0bfd4d6c87d47fa |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fbbad25081908712601404734988 |
completed | April 9, 2026, 7:19 p.m. |
| NEDg | Description generation | batch_69d822d597088190bf3dca85e1ddb890 |
completed | April 9, 2026, 10:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d859cc1aac8190ab232bb4e4e4fac1 |
completed | April 10, 2026, 2 a.m. |
Created at: April 6, 2026, 12:07 p.m.