Triple
T1481295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uttarakhand |
E30961
|
entity |
| Predicate | river |
P165
|
FINISHED |
| Object | Yamuna |
E6360
|
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: Yamuna | Statement: [Uttarakhand, river, Yamuna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yamuna Context triple: [Uttarakhand, river, Yamuna]
-
A.
Yamuna
chosen
Yamuna is a major sacred river of northern India, flowing through cities like Delhi and Agra and serving as a key tributary of the Ganges.
-
B.
Sarayu
Sarayu is a significant river in northern India, traditionally associated with the ancient city of Ayodhya and revered in Hindu mythology.
-
C.
Betwa River
The Betwa River is a major river in central India that flows through Madhya Pradesh and Uttar Pradesh before joining the Yamuna, supporting irrigation, agriculture, and several historic cities along its course.
-
D.
Gomti
Gomti is a significant river in northern India that flows through the state of Uttar Pradesh, including the city of Lucknow, before joining the Ganges.
-
E.
Swati
Swati is a Bantu language of the Nguni group, primarily spoken in Eswatini and parts of South Africa.
- 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_69a498fe55a88190ab7f9e40ace88e49 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c67699848190852e376efe22737c |
completed | March 1, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb65a9680819096e82b69b05cfa92 |
completed | March 10, 2026, 6:12 a.m. |
Created at: March 1, 2026, 8:11 p.m.