Triple
T15213706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kanowit |
E363582
|
entity |
| Predicate | roadConnection |
P385
|
FINISHED |
| Object | Sibu |
E361159
|
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: Sibu | Statement: [Kanowit, roadConnection, Sibu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sibu Context triple: [Kanowit, roadConnection, Sibu]
-
A.
Sibu
chosen
Sibu is a major town in the central region of Sarawak, Malaysia, known as a commercial and transportation hub on the island of Borneo.
-
B.
Kasibu
Kasibu is a rural municipality in the province of Nueva Vizcaya in the Philippines, known for its mountainous terrain and agricultural economy.
-
C.
Sibutu
Sibutu is a small but strategically located island in the southern Philippines near the maritime border with Malaysia, known for its role in regional sea routes and its predominantly Muslim population.
-
D.
Oshikwambi
Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
-
E.
Bongwe
Bongwe is a dialect of the Duala language spoken by the Duala people of Cameroon.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076c9e2481909d7a464b2172f4bf |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3649d1408190a4fed26539de1849 |
completed | May 9, 2026, 1:27 p.m. |
Created at: April 10, 2026, 3:11 a.m.