Triple
T16885813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Padang Pariaman Regency |
E421535
|
entity |
| Predicate | hasUrbanCenter |
P2106
|
FINISHED |
| Object | Lubuk Alung |
E1238519
|
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: Lubuk Alung | Statement: [Padang Pariaman Regency, hasUrbanCenter, Lubuk Alung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lubuk Alung Context triple: [Padang Pariaman Regency, hasUrbanCenter, Lubuk Alung]
-
A.
Lubuk Alung
chosen
Lubuk Alung is a town in West Sumatra, Indonesia, known as an important local administrative and transportation hub within Padang Pariaman Regency.
-
B.
Kepahiang
Kepahiang is a region in Bengkulu, Sumatra, Indonesia, historically associated with the Rejang people and their traditional Rejang script.
-
C.
Gosong Rengat
Gosong Rengat is a small island area within Indonesia’s Thousand Islands Regency, known as part of the scattered archipelago off the coast of Jakarta.
-
D.
Batusangkar
Batusangkar is a historic town in West Sumatra, Indonesia, known as a cultural center of the Minangkabau people and gateway to the scenic Minangkabau Highlands.
-
E.
Sungailiat
Sungailiat is a coastal town on the island of Bangka in Indonesia, known for its tin mining history and nearby beaches.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3bbc126e881909dae8133ad34acc9 |
completed | April 18, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7a61c608190909a462e9e77220b |
completed | May 10, 2026, 6 p.m. |
Created at: April 10, 2026, 5:29 a.m.