Triple
T9731772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bishop of Chester |
E235760
|
entity |
| Predicate | provinceRank |
P90705
|
FINISHED |
| Object | northern province of the Church of England |
—
|
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: northern province of the Church of England | Statement: [Bishop of Chester, provinceRank, northern province of the Church of England]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: provinceRank Context triple: [Bishop of Chester, provinceRank, northern province of the Church of England]
-
A.
stateRank
Indicates the relative position or standing of an entity within a specific state-level ordering or hierarchy.
-
B.
countyRank
Indicates the relative position or standing of a county within a larger ordered set, typically based on some quantitative measure such as size, population, or performance.
-
C.
countryRankContext
Indicates the relative position or ranking of a country within a specified contextual framework (such as economic, political, or performance-based criteria).
-
D.
areaRankInUS
Indicates the relative position of an entity in a ranking of areas within the United States, based on its size.
-
E.
nationalRank
Indicates the position or standing of an entity within a ranking system at the national level.
- 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_69ca84d0fad481909cdd45aa77416c48 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9eb3d6e4819090b3c7fb92550c57 |
completed | April 1, 2026, 10:39 p.m. |
| PD | Predicate disambiguation | batch_69cd03c6ffc88190a5e9569e19122ad5 |
completed | April 1, 2026, 11:38 a.m. |
| PDg | Predicate description generation | batch_69cd07c5c978819084abc7267a5ced80 |
completed | April 1, 2026, 11:55 a.m. |
Created at: March 30, 2026, 8:22 p.m.