Triple
T8037784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tapi River |
E187153
|
entity |
| Predicate | tributary |
P415
|
FINISHED |
| Object | Vaghur River |
E691884
|
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: Vaghur River | Statement: [Tapi River, tributary, Vaghur River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vaghur River Context triple: [Tapi River, tributary, Vaghur River]
-
A.
Vaghur River
chosen
The Vaghur River is a smaller river in western India that feeds into the larger Tapti River system.
-
B.
Shivna River
The Shivna River is a regional river in the Indian state of Madhya Pradesh that flows near the town of Mandsaur and supports its local agriculture and ecology.
-
C.
Tekhuri River
The Tekhuri River is a waterway in western Georgia that flows through the Samegrelo region before joining the larger Rioni River.
-
D.
Vishwamitri River
The Vishwamitri River is a seasonal river in the Indian state of Gujarat that flows through the city of Vadodara and is known for its crocodile population and frequent flooding.
-
E.
Kshipra River
The Kshipra River is a sacred river in central India that flows through the city of Ujjain and is an important site for Hindu religious rituals and pilgrimages.
- 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_69ca82ae2d1081909dbfee42b41db419 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f19a6b4819085e2887fb0c54d08 |
completed | March 31, 2026, 3:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d190aa70f0819088998b0e895ea36a |
completed | April 4, 2026, 10:28 p.m. |
Created at: March 30, 2026, 5:23 p.m.