Triple
T24024254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holdenby House |
E594906
|
entity |
| Predicate | numberOfStoreysOriginal |
P1728
|
FINISHED |
| Object | three |
—
|
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: three | Statement: [Holdenby House, numberOfStoreysOriginal, three]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfStoreysOriginal Context triple: [Holdenby House, numberOfStoreysOriginal, three]
-
A.
numberOfFloors
chosen
Indicates the total count of distinct floor levels that a building or structure has.
-
B.
numberOfTimberStoreys
Indicates the count of storeys in a structure that are constructed using timber.
-
C.
numberOfBuildings
Indicates the total count of buildings associated with a given entity or within a specified context.
-
D.
hasOriginalBuildings
Indicates that an entity possesses or still retains its initial or historically first-constructed buildings.
-
E.
numberOfResidentialFloors
Indicates the total count of floors in a building that are designated for residential use.
- 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_69e288be2c288190a3a46006945557f7 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d769f7248190ae145218fb0e8bbd |
completed | April 29, 2026, 10:03 a.m. |
| PD | Predicate disambiguation | batch_69f17639d23c8190bed93434e2f9230a |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:53 p.m.