Triple
T2686491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Cotabato |
E57495
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Kiamba
Kiamba is a coastal municipality in the province of South Cotabato in the Philippines, known for its fishing industry and scenic natural attractions.
|
E288641
|
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: Kiamba | Statement: [South Cotabato, hasMunicipality, Kiamba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kiamba Context triple: [South Cotabato, hasMunicipality, Kiamba]
-
A.
Kiyombe
Kiyombe is a regional variety of the Kikongo language spoken by communities in parts of Central Africa.
-
B.
Kibondo
Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
-
C.
Chambo
Chambo is a small town in central Ecuador known for its agricultural activities and proximity to the Andean highlands.
-
D.
Murambi
Murambi is a residential suburb of Mutare, a major city in eastern Zimbabwe.
-
E.
Kiamu
Kiamu is a dialect of the Swahili language traditionally spoken in the Lamu (Amu) region of Kenya.
- 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: Kiamba Triple: [South Cotabato, hasMunicipality, Kiamba]
Generated description
Kiamba is a coastal municipality in the province of South Cotabato in the Philippines, known for its fishing industry and scenic natural attractions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kiamba Target entity description: Kiamba is a coastal municipality in the province of South Cotabato in the Philippines, known for its fishing industry and scenic natural attractions.
-
A.
Kiyombe
Kiyombe is a regional variety of the Kikongo language spoken by communities in parts of Central Africa.
-
B.
Kibondo
Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
-
C.
Chambo
Chambo is a small town in central Ecuador known for its agricultural activities and proximity to the Andean highlands.
-
D.
Murambi
Murambi is a residential suburb of Mutare, a major city in eastern Zimbabwe.
-
E.
Kiamu
Kiamu is a dialect of the Swahili language traditionally spoken in the Lamu (Amu) region of Kenya.
- 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_69ab4a5028388190a36f3baf1588309e |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9ef2fe0819082bbe746ca682a7e |
completed | March 7, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa07228088190bb4942b3a25c938b |
completed | March 10, 2026, 4:39 a.m. |
| NEDg | Description generation | batch_69afa0ff9c10819096d06ead6dc87d04 |
completed | March 10, 2026, 4:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afa1e4ffb08190a6d96665ee566ea7 |
completed | March 10, 2026, 4:45 a.m. |
Created at: March 6, 2026, 9:54 p.m.