Triple
T22264112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bishop's Palace, Barchester |
E550303
|
entity |
| Predicate | centralSettingFor |
P4751
|
FINISHED |
| Object | clerical politics in Barchester |
—
|
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: clerical politics in Barchester | Statement: [Bishop's Palace, Barchester, centralSettingFor, clerical politics in Barchester]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralSettingFor Context triple: [Bishop's Palace, Barchester, centralSettingFor, clerical politics in Barchester]
-
A.
centralIn
chosen
Indicates that one entity occupies a central or most important position within another entity, context, or structure.
-
B.
coversSetting
Indicates that one entity includes or addresses a particular setting or context within its scope.
-
C.
standardSettingFor
Indicates that one entity establishes or defines the norms, criteria, or benchmarks that another entity is expected to follow or be measured against.
-
D.
secondarySetting
Indicates that an entity serves as an additional or supporting setting context for another entity, rather than being the primary setting.
-
E.
centerType
Indicates the classification or category of a center (e.g., type of facility, institution, or hub) associated with an 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_69e11e42adb8819087714772ea606709 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f141ba5c9481909e24067133918ae2 |
completed | April 28, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69e72fe1e0cc8190bd13cff2a0846225 |
completed | April 21, 2026, 8:05 a.m. |
Created at: April 16, 2026, 8:39 p.m.