Triple
T15057623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Son River |
E379535
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Sidhi |
E155359
|
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: Sidhi | Statement: [Son River, nearbyCity, Sidhi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sidhi Context triple: [Son River, nearbyCity, Sidhi]
-
A.
Sidhi
chosen
Sidhi is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its nearby coal mining areas and natural resources.
-
B.
Sidhauli
Sidhauli is a town and municipal body in the Sitapur district of Uttar Pradesh, India, known as a local administrative and commercial center for surrounding rural areas.
-
C.
Shivpuri
Shivpuri is a historic town and former princely state in central India, known for its forests, wildlife sanctuaries, and royal palaces.
-
D.
Sohagpur
Sohagpur is a town in the Narmadapuram district of Madhya Pradesh, India, known as a local commercial center and access point to nearby forested and wildlife areas.
-
E.
Karauli
Karauli is a historic town and pilgrimage center in the Indian state of Rajasthan, known for its ancient temples and distinctive red sandstone architecture.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69deda937f788190899d81bbb2084443 |
completed | April 15, 2026, 12:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7dd767c8190a129f00303f970bc |
completed | May 9, 2026, 4:28 a.m. |
Created at: April 10, 2026, 3:01 a.m.