Triple
T12641753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tawau |
E301912
|
entity |
| Predicate | hasFerryConnectionsTo |
P1831
|
FINISHED |
| Object | Tarakan |
E215665
|
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: Tarakan | Statement: [Tawau, hasFerryConnectionsTo, Tarakan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarakan Context triple: [Tawau, hasFerryConnectionsTo, Tarakan]
-
A.
Tarakan
chosen
Tarakan is an island off the northeastern coast of Borneo in Indonesia, historically significant for its oil resources and as a strategic battleground during World War II.
-
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.
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.
-
D.
Ternate
Ternate is a coastal municipality in the province of Cavite in the Philippines, known for its beaches and historical significance.
-
E.
Biak
Biak is an Austronesian language spoken primarily on Biak Island and nearby areas in Papua, Indonesia.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9614ae6ac8190b42acbf2b0331fda |
completed | April 10, 2026, 8:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a539f098819096e955a035742dad |
completed | May 3, 2026, 1:30 a.m. |
Created at: April 9, 2026, 5:17 p.m.