Triple
T21538788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Severn Crossing |
E531420
|
entity |
| Predicate | approachViaductMaterial |
P52395
|
FINISHED |
| Object | concrete |
—
|
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: concrete | Statement: [Second Severn Crossing, approachViaductMaterial, concrete]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approachViaductMaterial Context triple: [Second Severn Crossing, approachViaductMaterial, concrete]
-
A.
bridgeMaterial
chosen
Indicates that a bridge is constructed from, or primarily composed of, a specified material.
-
B.
hasViaduct
Indicates that one entity possesses, includes, or is connected by a viaduct in relation to another entity.
-
C.
مادة البناء
Indicates a relationship where something serves as, or is used as, a construction material in building or structural work.
-
D.
constructionMaterialOfDam
Indicates the material or materials used in the construction of a dam.
-
E.
lighthouseConstructionMaterial
Indicates the material from which a lighthouse is built or primarily constructed.
- 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_69e0c45e5b8881908ac18fc2f493b114 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d10a2888190bc4e502a829c76a4 |
completed | April 26, 2026, 11:17 p.m. |
| PD | Predicate disambiguation | batch_69e6320766308190ba5dca2f7c826aa4 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:27 p.m.