Triple
T26108066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Tawton |
E658593
|
entity |
| Predicate | Court GreenWasHomeOf |
P159957
|
FINISHED |
| Object | Sylvia Plath |
—
|
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: Sylvia Plath | Statement: [North Tawton, Court GreenWasHomeOf, Sylvia Plath]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Court GreenWasHomeOf Context triple: [North Tawton, Court GreenWasHomeOf, Sylvia Plath]
-
A.
houseVisited
Indicates that a particular house has been visited by a specified entity or at a specified time.
-
B.
hasCourthouse
Indicates that a location or jurisdiction possesses or contains a courthouse.
-
C.
jurisdictionOfOccupant
Indicates the legal authority or control that an occupant exercises over a place, property, or domain.
-
D.
housesJurisdiction
Indicates that one entity serves as the location or seat where the jurisdiction or authority of another entity is based or exercised.
-
E.
hasNearbyInnOfCourt
Indicates that one entity is located close to, or in the immediate vicinity of, an Inn of Court.
- 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_69ee5bc09c288190bc42a11972841383 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f60779ae4c81909428c6d249cc0665 |
completed | May 2, 2026, 2:17 p.m. |
| PD | Predicate disambiguation | batch_69f5b0021da88190bdd4cf2698c23edf |
completed | May 2, 2026, 8:04 a.m. |
| PDg | Predicate description generation | batch_69f5f6b32a8881909baa0db57b80d56a |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 26, 2026, 7:59 p.m.