Triple
T7973386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tangerang |
E185381
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Cisadane River |
E205367
|
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: Cisadane River | Statement: [Tangerang, locatedOnRiver, Cisadane River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cisadane River Context triple: [Tangerang, locatedOnRiver, Cisadane River]
-
A.
Cisadane River
chosen
The Cisadane River is a major river in western Java, Indonesia, flowing from the mountains through Bogor and Tangerang before emptying into the Java Sea.
-
B.
Buëch River
The Buëch River is a river in southeastern France that flows through the Alps and Provence regions before joining the Durance.
-
C.
Assineau River
The Assineau River is a small river in north-central Alberta, Canada, that drains surrounding forested and rural areas before emptying into Lesser Slave Lake.
-
D.
Deûle River
The Deûle River is a canalised river in northern France that flows through the city of Lille and serves as an important waterway in the region.
-
E.
Avre River
The Avre River is a watercourse in northern France that flows through the Picardy region before joining the Somme River.
- 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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bf319648190a900b133d58bd02b |
completed | March 31, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd33e50f0c81909c96da2d78f17ffd |
completed | April 1, 2026, 3:04 p.m. |
Created at: March 30, 2026, 5:13 p.m.