Triple
T9652620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Leyte |
E233372
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Sogod
Sogod is a coastal municipality in the province of Southern Leyte in the Philippines, known for its role as a local commercial and educational center.
|
E811953
|
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: Sogod | Statement: [Southern Leyte, hasMunicipality, Sogod]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sogod Context triple: [Southern Leyte, hasMunicipality, Sogod]
-
A.
Sogod
Sogod is a municipality in the province of Cebu in the Philippines, known for its coastal and rural communities.
-
B.
Sa’och
Sa’och is an indigenous Pearic language (and its associated ethnic group) of mainland Southeast Asia, traditionally spoken by a small community in Cambodia and nearby regions.
-
C.
Sobolo
"Sobolo" is a popular Afrobeat and dancehall song by Ghanaian artist Stonebwoy, known for its catchy rhythm and fusion of contemporary and traditional Ghanaian sounds.
-
D.
Sochalien
Sochalien is the French demonym for an inhabitant or native of the town of Sochaux in eastern France.
-
E.
Sosanya
Sosanya is a surname most notably associated with British actress Nina Sosanya, known for her extensive work in television, film, and theatre.
- 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: Sogod Triple: [Southern Leyte, hasMunicipality, Sogod]
Generated description
Sogod is a coastal municipality in the province of Southern Leyte in the Philippines, known for its role as a local commercial and educational center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sogod Target entity description: Sogod is a coastal municipality in the province of Southern Leyte in the Philippines, known for its role as a local commercial and educational center.
-
A.
Sogod
Sogod is a municipality in the province of Cebu in the Philippines, known for its coastal and rural communities.
-
B.
Sa’och
Sa’och is an indigenous Pearic language (and its associated ethnic group) of mainland Southeast Asia, traditionally spoken by a small community in Cambodia and nearby regions.
-
C.
Sobolo
"Sobolo" is a popular Afrobeat and dancehall song by Ghanaian artist Stonebwoy, known for its catchy rhythm and fusion of contemporary and traditional Ghanaian sounds.
-
D.
Sochalien
Sochalien is the French demonym for an inhabitant or native of the town of Sochaux in eastern France.
-
E.
Sosanya
Sosanya is a surname most notably associated with British actress Nina Sosanya, known for her extensive work in television, film, and theatre.
- 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_69ca848b31648190b57aa55da20285be |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9bb0cce88190b7eacc8b43450d7f |
completed | April 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1826c91388190b82112c2ca1eae7e |
completed | April 4, 2026, 9:28 p.m. |
| NEDg | Description generation | batch_69d1836d683081908bccf970e4b0980b |
completed | April 4, 2026, 9:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d18412c4a08190bce431235e1102fc |
completed | April 4, 2026, 9:35 p.m. |
Created at: March 30, 2026, 8:13 p.m.