Triple
T686069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ravi River |
E13285
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Amritsar district |
E23792
|
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: Amritsar district | Statement: [Ravi River, passesThrough, Amritsar district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amritsar district Context triple: [Ravi River, passesThrough, Amritsar district]
-
A.
Karnal district
Karnal district is an administrative region in northern India known for its agricultural productivity and historical significance within the state of Haryana.
-
B.
Amritsar
chosen
Amritsar is a historic city in the Indian state of Punjab, renowned as the spiritual center of Sikhism and home to the Golden Temple.
-
C.
Gujranwala
Gujranwala is a major industrial city in Pakistan’s Punjab province, known for its manufacturing base and historical significance in the region.
-
D.
Kurukshetra district
Kurukshetra district is an administrative region in northern India renowned as the legendary battlefield of the Mahabharata and a major Hindu pilgrimage center.
-
E.
Sonipat district
Sonipat district is an administrative region in northern India known for its rapidly developing urban centers, industrial growth, and proximity to the national capital, Delhi.
- 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_69a4933e0f98819097d22766c49b61b8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a0924dec8190bbbd2bb244f85211 |
completed | March 1, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7927e57d48190a9e1f34c39501680 |
completed | March 4, 2026, 2:01 a.m. |
Created at: March 1, 2026, 7:36 p.m.