Triple
T822347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chenab River |
E17776
|
entity |
| Predicate | ChenabRailBridgeFeature |
P386
|
FINISHED |
| Object | one of the highest railway bridges in the world |
—
|
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: one of the highest railway bridges in the world | Statement: [Chenab River, ChenabRailBridgeFeature, one of the highest railway bridges in the world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ChenabRailBridgeFeature Context triple: [Chenab River, ChenabRailBridgeFeature, one of the highest railway bridges in the world]
-
A.
skybridgeHeight
Indicates the vertical distance or clearance between a skybridge and a reference surface (such as the ground or roadway) or between connected structures.
-
B.
bridgeType
Indicates the specific kind or classification of a bridge associated with an entity.
-
C.
hasMajorBridge
chosen
Indicates that one entity possesses or includes a primary or significant bridge associated with it.
-
D.
bridges
Indicates that one entity connects or links two or more other entities, allowing passage, transition, or interaction between them.
-
E.
hasViaduct
Indicates that one entity possesses, includes, or is connected by a viaduct in relation to another entity.
- 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.