Triple
T37687927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plas Newydd, Llandudno |
E938422
|
entity |
| Predicate | hasLongTermResident |
P22499
|
FINISHED |
| Object | Eleanor Butler |
—
|
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: Eleanor Butler | Statement: [Plas Newydd, Llandudno, hasLongTermResident, Eleanor Butler]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLongTermResident Context triple: [Plas Newydd, Llandudno, hasLongTermResident, Eleanor Butler]
-
A.
hasSignificantResidence
Indicates that an entity maintains an important or primary place of residence at a specified location.
-
B.
residencePeriod
Indicates the length of time an entity resides or has resided at a particular location.
-
C.
hasTraditionalResidenceType
Indicates that an entity is associated with a particular customary or historically established type of residence.
-
D.
residencyStatus
Indicates the legal or official residential classification of an entity within a particular jurisdiction or context.
-
E.
hasResidenceIn
chosen
Indicates that an entity lives or maintains a primary dwelling in a specified location.
- 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_69f76ed881408190bc62a969530a4a53 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ffaa7bc45c8190b907db8579244a7b |
completed | May 9, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69ffa9f6c9a481908fbd4d18b311cbe2 |
completed | May 9, 2026, 9:41 p.m. |
Created at: May 3, 2026, 4:18 p.m.