Triple
T8338053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sidoarjo |
E195838
|
entity |
| Predicate | hasUrbanCenter |
P2106
|
FINISHED |
| Object | Sidoarjo (town) |
E195838
|
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: Sidoarjo (town) | Statement: [Sidoarjo, hasUrbanCenter, Sidoarjo (town)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sidoarjo (town) Context triple: [Sidoarjo, hasUrbanCenter, Sidoarjo (town)]
-
A.
Sidoarjo
chosen
Sidoarjo is a rapidly developing urban and industrial center in Indonesia known for its proximity to Surabaya and its significant role in East Java’s economy.
-
B.
Kepanjen
Kepanjen is a town in East Java, Indonesia, known as an administrative and growing urban center within the Malang region.
-
C.
Mojokerto
Mojokerto is a city in Indonesia known for its historical significance as part of the former Majapahit Empire and its location in the province of East Java.
-
D.
Bojonegoro
Bojonegoro is a regency capital and regional economic center in the western part of East Java, Indonesia, known for its agriculture and oil and gas production.
-
E.
Tuban
Tuban is a coastal town and regency capital in northern East Java, Indonesia, known historically as a trading port and for its cultural and religious heritage sites.
- 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fd68e348190a7cb8639a263b50f |
completed | March 31, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde794a4008190bbcb2f114c503458 |
completed | April 2, 2026, 3:50 a.m. |
Created at: March 30, 2026, 5:57 p.m.