Triple
T26339937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isabel of Gloucester |
E662616
|
entity |
| Predicate | territorialConnection |
P21614
|
FINISHED |
| Object | Gloucester |
—
|
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: Gloucester | Statement: [Isabel of Gloucester, territorialConnection, Gloucester]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: territorialConnection Context triple: [Isabel of Gloucester, territorialConnection, Gloucester]
-
A.
hasTerritorialAssociation
chosen
Indicates a relationship where an entity is linked or connected to a specific territory, area, or geographic region.
-
B.
territoryCorrespondedTo
Indicates that one territory matched, aligned with, or was equivalent to another territory in scope, boundaries, or designation.
-
C.
hasGeographicConnectionTo
Indicates a relationship where two entities are linked through a shared or relevant geographic feature, location, or spatial association.
-
D.
territorialLevel
Indicates the administrative or geographic tier at which something is defined, applied, or governed within a territorial hierarchy.
-
E.
territoryFeature
Indicates that a specific geographic or physical feature is located within, characterizes, or is part of a given territory.
- 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_69ee81304194819092e20e0fae3aee07 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f6352fdb788190b9bad30243690743 |
completed | May 2, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69f631850ae08190a0ba51e4f1e4ccb3 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 26, 2026, 10:38 p.m.