Triple
T15902613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nat Ma Taung National Park |
E385625
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object | Kanpetlet |
E797242
|
NE FINISHED |
How this triple was built (2 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: Kanpetlet | Statement: [Nat Ma Taung National Park, nearbyTown, Kanpetlet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kanpetlet Context triple: [Nat Ma Taung National Park, nearbyTown, Kanpetlet]
-
A.
Kanpetlet
chosen
Kanpetlet is a small, remote town in western Myanmar known as a gateway to Nat Ma Taung (Mount Victoria) and its surrounding national park.
-
B.
Toyapakeh
Toyapakeh is a renowned dive site off Nusa Penida in Bali, Indonesia, known for its rich coral reefs, clear waters, and diverse marine life including manta rays and mola mola.
-
C.
Kuto-Kute
Kuto-Kute is a regional dialect of the Sasak language spoken by Sasak communities on the island of Lombok in Indonesia.
-
D.
Kanpa
Kanpa is a small remote Aboriginal community located within Western Australia’s Shire of Ngaanyatjarraku.
-
E.
Bakoteh
Bakoteh is a residential neighborhood within the urban area of Serekunda in The Gambia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1563e79608190a1fdfe6265817616 |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb051a05081908c349cd9a1ff247a |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:52 a.m.