Triple
T16885782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Padang Pariaman Regency |
E421535
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Pariaman City |
E415900
|
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: Pariaman City | Statement: [Padang Pariaman Regency, borderedBy, Pariaman City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pariaman City Context triple: [Padang Pariaman Regency, borderedBy, Pariaman City]
-
A.
Pariaman
chosen
Pariaman is a coastal city in western Sumatra, Indonesia, known for its beaches and distinctive Minangkabau cultural traditions.
-
B.
Padang Pariaman Regency
Padang Pariaman Regency is an administrative regency on the western coast of Sumatra, Indonesia, known for its Minangkabau culture and proximity to the provincial capital, Padang.
-
C.
Solok
Solok is a city in the Indonesian province of West Sumatra known for its rice production and scenic highland landscapes.
-
D.
Padang Panjang
Padang Panjang is a small highland city in West Sumatra, Indonesia, known for its Minangkabau cultural heritage and cool mountainous climate.
-
E.
Lubuklinggau
Lubuklinggau is a significant urban center in western South Sumatra, Indonesia, known as a regional hub for trade and transportation.
- 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.