Triple
T2263331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nottingham railway station |
E50087
|
entity |
| Predicate | hasStationBuildingMaterial |
P37535
|
FINISHED |
| Object | red brick |
—
|
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: red brick | Statement: [Nottingham railway station, hasStationBuildingMaterial, red brick]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStationBuildingMaterial Context triple: [Nottingham railway station, hasStationBuildingMaterial, red brick]
-
A.
hasStationBuilding
Indicates that a station is associated with or includes a station building as part of its facilities.
-
B.
containsBuilding
Indicates that one location or area includes a building within its boundaries.
-
C.
hasBuildingStock
Indicates that an entity possesses or includes a collection or inventory of buildings.
-
D.
hasBuildingFunction
Indicates that a building is used for or serves a particular function or purpose.
-
E.
usesBuilding
Indicates that one entity makes use of, occupies, or operates within a particular building.
- F. None of above. chosen
Provenance (4 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_69a88b01e0048190ba96431b5f990ba9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc2ea65288190bc8644a07a11dfa9 |
completed | March 7, 2026, 6:17 a.m. |
| PD | Predicate disambiguation | batch_69abbdb592588190ac1ef5e8c54575b1 |
completed | March 7, 2026, 5:55 a.m. |
| PDg | Predicate description generation | batch_69abc2e97eb0819084acb26cfa4e3946 |
completed | March 7, 2026, 6:17 a.m. |
Created at: March 4, 2026, 7:48 p.m.