Triple
T822346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chenab River |
E17776
|
entity |
| Predicate | ChenabRailBridgeLocation |
P15474
|
FINISHED |
| Object | near Reasi in Jammu and Kashmir |
—
|
LITERAL 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: near Reasi in Jammu and Kashmir | Statement: [Chenab River, ChenabRailBridgeLocation, near Reasi in Jammu and Kashmir]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ChenabRailBridgeLocation Context triple: [Chenab River, ChenabRailBridgeLocation, near Reasi in Jammu and Kashmir]
-
A.
bridgeLocation
chosen
Indicates the specific place or area where a bridge is situated or spans.
-
B.
CrimeanBridgeConnects
Indicates that the Crimean Bridge serves as a physical connection or link between two geographic locations.
-
C.
locatedAcrossRiverFrom
Indicates that one entity is situated on the opposite side of a river relative to another entity.
-
D.
skybridgeHeight
Indicates the vertical distance or clearance between a skybridge and a reference surface (such as the ground or roadway) or between connected structures.
-
E.
largestInflowRiver
Indicates that one river has the greatest volume of water flowing into a specified body (such as a lake, sea, or another river) compared to all other contributing rivers.
- F. None of above.
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_69a4937bcaac8190a322524ac6f45a5a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ab976094819086d676404d745750 |
completed | March 1, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69a4aa76a7808190ac7fd9ba1a4cebcb |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:38 p.m.