Triple
T7320089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madura Island |
E168517
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Pamekasan |
E150532
|
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: Pamekasan | Statement: [Madura Island, hasCity, Pamekasan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pamekasan Context triple: [Madura Island, hasCity, Pamekasan]
-
A.
Pamekasan
chosen
Pamekasan is a significant urban center and regency capital on Madura Island in East Java, Indonesia, known for its cultural traditions and regional governance role.
-
B.
Lamongan
Lamongan is a regency and its capital town in the northern coastal region of East Java, Indonesia, known for its fishing industry and distinctive local cuisine.
-
C.
Gresik
Gresik is an industrial and port city in Indonesia known for its cement production and role as part of the Surabaya metropolitan area.
-
D.
Tulungagung
Tulungagung is a regency and urban center in southern East Java, Indonesia, known for its marble industry and coastal landscapes along the Indian Ocean.
-
E.
Sumenep
Sumenep is a historic coastal town and regency capital on the eastern end of Madura Island in Indonesia, known for its royal palace, traditional culture, and salt production.
- 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_69c68a5251508190ad68df4151cfeb04 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6ef1a7a3c81909504eb711056f302 |
completed | March 27, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7eefcd7148190818d581cbde9aff1 |
completed | March 28, 2026, 3:08 p.m. |
Created at: March 27, 2026, 3:02 p.m.