Triple
T15870805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poso |
E384823
|
entity |
| Predicate | connectedByRoadTo |
P11435
|
FINISHED |
| Object | Luwuk |
E384824
|
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: Luwuk | Statement: [Poso, connectedByRoadTo, Luwuk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luwuk Context triple: [Poso, connectedByRoadTo, Luwuk]
-
A.
Luwuk
chosen
Luwuk is a coastal town and regional economic center located on the eastern coast of Central Sulawesi, Indonesia.
-
B.
Baubau
Baubau is a coastal city in Southeast Sulawesi, Indonesia, known as a cultural and historical center of the Wolio-speaking Butonese people.
-
C.
Donggala
Donggala is a coastal town and regency in Indonesia known historically as a key port and administrative center in Central Sulawesi.
-
D.
Bulukumba
Bulukumba is a regency in South Sulawesi, Indonesia, known for its coastal landscapes, traditional boatbuilding, and Makassarese cultural heritage.
-
E.
Donggala Regency
Donggala Regency is a coastal administrative region in Central Sulawesi, Indonesia, known for its proximity to Palu Bay and its diverse marine and mountainous landscapes.
- 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.