Triple
T13272620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palu Bay |
E316101
|
entity |
| Predicate | hasSettlementOnShore |
P16159
|
FINISHED |
| Object | Donggala |
E390762
|
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: Donggala | Statement: [Palu Bay, hasSettlementOnShore, Donggala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donggala Context triple: [Palu Bay, hasSettlementOnShore, Donggala]
-
A.
Donggala
chosen
Donggala is a coastal town and regency in Indonesia known historically as a key port and administrative center in Central Sulawesi.
-
B.
Tidore
Tidore is an island and historic sultanate in eastern Indonesia that was once a major center of the regional spice trade.
-
C.
Tual
Tual is the main urban and administrative center of the Kai Islands in Indonesia’s Maluku province.
-
D.
Ternate
Ternate is a coastal municipality in the province of Cavite in the Philippines, known for its beaches and historical significance.
-
E.
Ternate
Ternate is a small volcanic island and city in eastern Indonesia that was historically a major center of the global spice trade, especially for cloves.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99020f710819094c2618662bdc7fd |
completed | April 11, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716cd8c2c8190a28d901fde98dc26 |
completed | May 3, 2026, 9:35 a.m. |
Created at: April 9, 2026, 9:26 p.m.