Triple
T28727021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 23rd Earl of Derby |
E730250
|
entity |
| Predicate | holderResidence |
P117132
|
FINISHED |
| Object | Knowsley Hall |
—
|
NE NERFINISHED |
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: Knowsley Hall | Statement: [23rd Earl of Derby, holderResidence, Knowsley Hall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: holderResidence Context triple: [23rd Earl of Derby, holderResidence, Knowsley Hall]
-
A.
hostResidenceOf
Indicates that a location serves as the primary place of residence for a specified person or group.
-
B.
inResidenceAt
Indicates that an entity lives or resides at a particular location or residence.
-
C.
ownedResidence
Indicates that one entity has ownership of a dwelling or place of residence associated with another entity.
-
D.
residence
Indicates that one entity lives at, is based in, or habitually occupies the location represented by the other entity.
-
E.
seatOrMainResidence
chosen
Indicates that one entity serves as the primary location, such as the official seat or main residence, of another entity.
- 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_69f043e91fe48190b73bcd8e08d433e0 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c2198208190a3954086c22cfcbf |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 5:56 a.m.