Triple
T4810864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shifnal |
E107064
|
entity |
| Predicate | hasBuildingGrade |
P60267
|
FINISHED |
| Object | several listed buildings |
—
|
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: several listed buildings | Statement: [Shifnal, hasBuildingGrade, several listed buildings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBuildingGrade Context triple: [Shifnal, hasBuildingGrade, several listed buildings]
-
A.
hasBuildingStatus
Indicates the current condition, classification, or operational state assigned to a building.
-
B.
containsBuilding
Indicates that one location or area includes a building within its boundaries.
-
C.
hasBuildingHeightType
Indicates the classification or type used to characterize the height of a building in the relationship.
-
D.
hasBuildingLocation
Indicates that a building is situated at, or associated with, a specific geographic or spatial location.
-
E.
hasBuildingForm
Indicates that an entity possesses or is characterized by a particular architectural or structural building form.
- 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_69bd43f779448190b92885cb70abb6c2 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ff981fc819080d4466c6fe06cf3 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c1c43a48190a65e56b1624a2339 |
completed | March 20, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69bd6ff731188190a9903602122d4ff9 |
completed | March 20, 2026, 4:04 p.m. |
Created at: March 20, 2026, 1:23 p.m.