Triple
T10397920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Misamis Oriental |
E245068
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Lagonglong
Lagonglong is a coastal municipality in the province of Misamis Oriental on the island of Mindanao in the Philippines.
|
E861636
|
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: Lagonglong | Statement: [Misamis Oriental, hasMunicipality, Lagonglong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lagonglong Context triple: [Misamis Oriental, hasMunicipality, Lagonglong]
-
A.
Malungon
Malungon is a landlocked agricultural municipality in the province of South Cotabato in the Philippines, known for its hilly terrain and farming-based economy.
-
B.
Binalong
Binalong is a small rural village in New South Wales, Australia, known for its historic buildings and pastoral surroundings.
-
C.
Tingloy
Tingloy is a coastal island municipality in the province of Batangas in the Philippines, known for its beaches, diving spots, and laid-back rural atmosphere.
-
D.
Palingon
Palingon is a barangay (village-level administrative division) located in the city of Taguig in Metro Manila, Philippines.
-
E.
Balangao Bontok
Balangao Bontok is an indigenous Austronesian language spoken by the Balangao people in the Mountain Province of the northern Philippines.
- 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: Lagonglong Triple: [Misamis Oriental, hasMunicipality, Lagonglong]
Generated description
Lagonglong is a coastal municipality in the province of Misamis Oriental on the island of Mindanao in the Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lagonglong Target entity description: Lagonglong is a coastal municipality in the province of Misamis Oriental on the island of Mindanao in the Philippines.
-
A.
Malungon
Malungon is a landlocked agricultural municipality in the province of South Cotabato in the Philippines, known for its hilly terrain and farming-based economy.
-
B.
Binalong
Binalong is a small rural village in New South Wales, Australia, known for its historic buildings and pastoral surroundings.
-
C.
Tingloy
Tingloy is a coastal island municipality in the province of Batangas in the Philippines, known for its beaches, diving spots, and laid-back rural atmosphere.
-
D.
Palingon
Palingon is a barangay (village-level administrative division) located in the city of Taguig in Metro Manila, Philippines.
-
E.
Balangao Bontok
Balangao Bontok is an indigenous Austronesian language spoken by the Balangao people in the Mountain Province of the northern Philippines.
- 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.