Triple
T18837033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raisen district |
E460689
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Narmada River |
—
|
NE NERFINISHED |
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: Narmada River | Statement: [Raisen district, hasRiver, Narmada River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Narmada River Context triple: [Raisen district, hasRiver, Narmada River]
-
A.
Narmada
chosen
Narmada is a major river in central India, revered in Hinduism and known for flowing westward into the Arabian Sea through a deep rift valley.
-
B.
Girna River
The Girna River is a significant river in the Indian state of Maharashtra that flows through the Jalgaon region and serves as an important source of irrigation and water supply.
-
C.
Amravati River
The Amravati River is a smaller river in central India that feeds into the larger Tapti River system.
-
D.
Amravati
Amravati is a major city in the Vidarbha region of central India, known as an important commercial and educational center.
-
E.
Ranganadi River
The Ranganadi River is a significant tributary of the Brahmaputra in northeastern India, flowing through Arunachal Pradesh and Assam and supporting irrigation, hydropower, and local ecosystems.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a99e86388190957acaaab401b5cb |
completed | April 20, 2026, 4:20 a.m. |
Created at: April 10, 2026, 11:56 a.m.