Triple
T1133083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrah |
E23075
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Son River |
E74600
|
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: Son River | Statement: [Arrah, locatedOnRiver, Son River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Son River Context triple: [Arrah, locatedOnRiver, Son River]
-
A.
Son River
chosen
The Son River is a major river in central and eastern India that flows through states like Madhya Pradesh, Uttar Pradesh, and Bihar before joining the Ganges.
-
B.
Taylor River
The Taylor River is a mountain river in central Colorado known for its scenic canyon, whitewater recreation, and renowned trout fishing.
-
C.
Fen River
Fen River is a major river in northern China that flows through Shanxi Province and serves as an important tributary of the Yellow River.
-
D.
Savena River
The Savena River is a watercourse in northern Italy that flows through the Emilia-Romagna region and passes near the city of Bologna.
-
E.
Wilga River
The Wilga River is a small river in southern Poland that flows through the Lesser Poland region and passes near the town of Wieliczka before joining the Vistula.
- 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_69a493ec75988190b63a11bafaec29b4 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bbfe68008190b2307b8107f06a08 |
completed | March 1, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1eebcf8e88190b657a55348f6870e |
completed | March 11, 2026, 10:37 p.m. |
Created at: March 1, 2026, 7:44 p.m.