Triple
T1729105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhima River |
E37568
|
entity |
| Predicate | majorRightBankTributary |
P415
|
FINISHED |
| Object | Mutha River |
E155300
|
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: Mutha River | Statement: [Bhima River, majorRightBankTributary, Mutha River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mutha River Context triple: [Bhima River, majorRightBankTributary, Mutha River]
-
A.
Mutha River
chosen
The Mutha River is a major river in the Indian state of Maharashtra that flows through the city of Pune and plays a key role in its water supply and landscape.
-
B.
Banas River
The Banas River is a significant river in northwestern India that flows through Rajasthan as a major tributary of the Chambal River.
-
C.
Hathmati River
The Hathmati River is a tributary river in the Indian state of Gujarat that feeds into the larger Sabarmati River system.
-
D.
Marico River
The Marico River is a significant watercourse in southern Africa that forms part of the upper reaches of the Limpopo River system.
-
E.
Sajur River
The Sajur River is a minor river in northern Syria and southeastern Turkey that flows into the Euphrates, contributing to the region’s agricultural irrigation and local water supply.
- 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_69a8861acab88190bb43cde203429399 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abaffc4e5c81908ce0b9cfe833445e |
completed | March 7, 2026, 4:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b085fc357481908259683cb4860cf3 |
completed | March 10, 2026, 8:58 p.m. |
Created at: March 4, 2026, 7:30 p.m.