Triple
T26567410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derby House, London |
E666724
|
entity |
| Predicate | tenantOccupation |
P161038
|
FINISHED |
| Object | British statesman |
—
|
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: British statesman | Statement: [Derby House, London, tenantOccupation, British statesman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tenantOccupation Context triple: [Derby House, London, tenantOccupation, British statesman]
-
A.
laterOccupant
Indicates that one entity occupied or held a position in a place or role after another entity had previously done so.
-
B.
occupants
Indicates that certain entities are currently inhabiting, residing in, or using a particular place, space, or object.
-
C.
hostOccupation
Indicates that one entity serves as the primary job, profession, or role held by another entity.
-
D.
occupiedFrom
Indicates that an entity is in use or inhabited starting from a specified point in time.
-
E.
occupiedBy
Indicates that a space, position, or role is currently being used, held, or filled by a particular entity.
- 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_69ee9cfa21c081909e4e36e087debfc6 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f614a0c2408190b494a3d1f624c042 |
completed | May 2, 2026, 3:13 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69f60f24ed608190bffe6c6084fc2f7a |
completed | May 2, 2026, 2:50 p.m. |
Created at: April 27, 2026, 1:56 a.m.