Triple
T17138596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pesisir Selatan Regency |
E415903
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Kambang
Kambang is a town or village located within Pesisir Selatan Regency in West Sumatra, Indonesia.
|
E1252603
|
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: Kambang | Statement: [Pesisir Selatan Regency, contains, Kambang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kambang Context triple: [Pesisir Selatan Regency, contains, Kambang]
-
A.
Ondong
Ondong is the main administrative and urban center of Kepulauan Sitaro Regency in North Sulawesi, Indonesia.
-
B.
Ranongga
Ranongga is an island in the Western Province of the Solomon Islands, known for its traditional villages, coral reefs, and subsistence farming communities.
-
C.
Kempas
Kempas is a suburban area and residential township located within the Johor Bahru region of Johor, Malaysia.
-
D.
Kambe
Kambe is one of the Mijikenda sub-groups of the coastal Bantu peoples of Kenya, known for their distinct language and cultural traditions.
-
E.
Gadong
Gadong is a major commercial and entertainment hub in Brunei, known for its shopping centers, markets, and vibrant urban activity.
- 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: Kambang Triple: [Pesisir Selatan Regency, contains, Kambang]
Generated description
Kambang is a town or village located within Pesisir Selatan Regency in West Sumatra, Indonesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kambang Target entity description: Kambang is a town or village located within Pesisir Selatan Regency in West Sumatra, Indonesia.
-
A.
Ondong
Ondong is the main administrative and urban center of Kepulauan Sitaro Regency in North Sulawesi, Indonesia.
-
B.
Ranongga
Ranongga is an island in the Western Province of the Solomon Islands, known for its traditional villages, coral reefs, and subsistence farming communities.
-
C.
Kempas
Kempas is a suburban area and residential township located within the Johor Bahru region of Johor, Malaysia.
-
D.
Kambe
Kambe is one of the Mijikenda sub-groups of the coastal Bantu peoples of Kenya, known for their distinct language and cultural traditions.
-
E.
Gadong
Gadong is a major commercial and entertainment hub in Brunei, known for its shopping centers, markets, and vibrant urban activity.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f2d1277881909325ffd2a7aa4873 |
completed | April 18, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a014152da008190bbbff4147cfd8c5b |
completed | May 11, 2026, 2:39 a.m. |
| NEDg | Description generation | batch_6a014209b11081908ed088a9bb18b73b |
completed | May 11, 2026, 2:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0142ac95188190847f29cb0f8d15ed |
completed | May 11, 2026, 2:45 a.m. |
Created at: April 10, 2026, 5:36 a.m.