Triple
T9742911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Philip House |
E236233
|
entity |
| Predicate | occupiesNumber |
P2574
|
FINISHED |
| Object | 3 Carlton House Terrace |
—
|
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: 3 Carlton House Terrace | Statement: [Prince Philip House, occupiesNumber, 3 Carlton House Terrace]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occupiesNumber Context triple: [Prince Philip House, occupiesNumber, 3 Carlton House Terrace]
-
A.
occupiedBy
Indicates that a space, position, or role is currently being used, held, or filled by a particular entity.
-
B.
occupiedFrom
Indicates that an entity is in use or inhabited starting from a specified point in time.
-
C.
occupies
chosen
Indicates that one entity takes up or resides within a physical or conceptual space belonging to or associated with another entity.
-
D.
hostOccupation
Indicates that one entity serves as the primary job, profession, or role held by another entity.
-
E.
occupants
Indicates that certain entities are currently inhabiting, residing in, or using a particular place, space, or object.
- 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_69ca84d3e24481908a476e2231123cf9 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f2cb7008190a829a03114d6c704 |
completed | April 1, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69cd03cc128c81908b84ef224f858b4e |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:23 p.m.