Triple
T22933341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buton Regency |
E569505
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Kapontori
Kapontori is a town-level settlement located within Buton Regency in Southeast Sulawesi, Indonesia.
|
E1562372
|
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: Kapontori | Statement: [Buton Regency, containsSettlement, Kapontori]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kapontori Context triple: [Buton Regency, containsSettlement, Kapontori]
-
A.
Bekopaka
Bekopaka is a remote village in western Madagascar that serves as the main gateway for visitors exploring the Tsingy de Bemaraha limestone karst formations and surrounding protected areas.
-
B.
Kokonoe
Kokonoe is a small mountainous town in Japan known for its hot springs, scenic highlands, and suspension bridges.
-
C.
Kapu
Kapu is a prominent agrarian community in the Indian state of Andhra Pradesh, traditionally associated with farming and landholding and classified among the major Telugu-speaking castes.
-
D.
Kapóng
Kapóng is an indigenous Cariban language spoken primarily by the Akawaio people of Guyana and neighboring regions.
-
E.
Bedonkohe
The Bedonkohe are a Western Apache subgroup historically associated with the Mogollon Mountains region of present-day New Mexico.
- 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: Kapontori Triple: [Buton Regency, containsSettlement, Kapontori]
Generated description
Kapontori is a town-level settlement located within Buton Regency in Southeast Sulawesi, Indonesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kapontori Target entity description: Kapontori is a town-level settlement located within Buton Regency in Southeast Sulawesi, Indonesia.
-
A.
Bekopaka
Bekopaka is a remote village in western Madagascar that serves as the main gateway for visitors exploring the Tsingy de Bemaraha limestone karst formations and surrounding protected areas.
-
B.
Kokonoe
Kokonoe is a small mountainous town in Japan known for its hot springs, scenic highlands, and suspension bridges.
-
C.
Kapu
Kapu is a prominent agrarian community in the Indian state of Andhra Pradesh, traditionally associated with farming and landholding and classified among the major Telugu-speaking castes.
-
D.
Kapóng
Kapóng is an indigenous Cariban language spoken primarily by the Akawaio people of Guyana and neighboring regions.
-
E.
Bedonkohe
The Bedonkohe are a Western Apache subgroup historically associated with the Mogollon Mountains region of present-day New Mexico.
- 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_69e2458f7d008190901dccbaebeaba24 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181337ff881909d90cf3f5bae7516 |
completed | April 29, 2026, 3:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bc24ea8bc8190bb7cb6e9475d6641 |
completed | May 19, 2026, 1:52 a.m. |
| NEDg | Description generation | batch_6a0bc3dea31c8190ab517e43c9061eec |
completed | May 19, 2026, 1:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bc46fd3d0819094a532a8d6a0b9b2 |
completed | May 19, 2026, 2:01 a.m. |
Created at: April 17, 2026, 3:44 p.m.