Triple
T15870646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pamona people |
E384819
|
entity |
| Predicate | associatedWithWaterBody |
P1489
|
FINISHED |
| Object | Poso Lake |
E386273
|
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: Poso Lake | Statement: [Pamona people, associatedWithWaterBody, Poso Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Poso Lake Context triple: [Pamona people, associatedWithWaterBody, Poso Lake]
-
A.
Boeri Lake
Boeri Lake is a high-altitude crater lake in Dominica, known for its cool, misty setting and scenic hiking trail within Morne Trois Pitons National Park.
-
B.
Tatlayoko Lake
Tatlayoko Lake is a remote, scenic lake in British Columbia’s interior, known for its rugged mountain surroundings and outdoor recreation opportunities.
-
C.
Calima Lake
Calima Lake is a large artificial reservoir in Colombia’s Valle del Cauca department, popular for water sports like windsurfing and kitesurfing due to its strong, consistent winds.
-
D.
Boolambayte Lake
Boolambayte Lake is a coastal freshwater lake located within New South Wales' Myall Lakes system in eastern Australia.
-
E.
Lake Poso
chosen
Lake Poso is a deep, tectonic lake in Central Sulawesi, Indonesia, known for its clear waters, unique biodiversity, and scenic surrounding highlands.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e155f915788190a8efc3b3380cb829 |
completed | April 16, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa94ca15c8190bdd5fe0a30b54b51 |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:50 a.m.