Triple
T13335285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cranford House (site of former manor house) |
E317673
|
entity |
| Predicate | currentBuildingStatus |
P38811
|
FINISHED |
| Object | no longer standing |
—
|
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: no longer standing | Statement: [Cranford House (site of former manor house), currentBuildingStatus, no longer standing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentBuildingStatus Context triple: [Cranford House (site of former manor house), currentBuildingStatus, no longer standing]
-
A.
currentBuilding
Indicates that an entity is located in, associated with, or belongs to the building that is relevant in the current context.
-
B.
hasBuildingStatus
chosen
Indicates the current condition, classification, or operational state assigned to a building.
-
C.
currentBuildings
Indicates that certain buildings are presently existing, active, or in use at a given time or context.
-
D.
buildingCurrentName
Indicates the name currently used to refer to a given building.
-
E.
cityCenterStatus
Indicates whether a location holds the status of being the central or main area of a city.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cff44e08190b9583baf0b626e42 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6e53d88190bd6aa42f69b10ffb |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:30 p.m.