Triple
T5232561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minangkabau Highlands |
E118144
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object | Sawahlunto |
E415902
|
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: Sawahlunto | Statement: [Minangkabau Highlands, hasMajorTown, Sawahlunto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sawahlunto Context triple: [Minangkabau Highlands, hasMajorTown, Sawahlunto]
-
A.
Sawahlunto
chosen
Sawahlunto is a historic former coal-mining town in Indonesia known for its well-preserved colonial-era architecture and recognition as a UNESCO World Heritage Site.
-
B.
Padang Dinka
Padang Dinka is a major dialect of the Dinka language spoken primarily by the Padang subgroup of the Dinka people in South Sudan.
-
C.
Bulahdelah
Bulahdelah is a small town in New South Wales, Australia, known as a gateway to the Myall Lakes region and surrounding natural attractions.
-
D.
Labuan
Labuan is a coastal town in Banten, western Java, Indonesia, known as a gateway to nearby natural attractions and marine tourism areas.
-
E.
Labuan
Labuan is a federal territory of Malaysia comprising a main island and several smaller ones, known as an offshore financial center and duty-free port off the coast of Borneo.
- 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_69bd4466fb8c819083b806a79414d7e4 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b0389048190b55b7c44fe657044 |
completed | March 20, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef8154940819098ed76e14804f4b3 |
completed | March 21, 2026, 7:57 p.m. |
Created at: March 20, 2026, 1:49 p.m.