Triple
T278958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bladon |
E5311
|
entity |
| Predicate | hasCivilParishStatus |
P9019
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Bladon, hasCivilParishStatus, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCivilParishStatus Context triple: [Bladon, hasCivilParishStatus, true]
-
A.
hasMunicipalGovernment
Indicates that an entity is administered or governed by a municipal-level governmental authority.
-
B.
hasCivilDivision
Indicates that one administrative or political entity is subdivided into, or is associated with, a specific civil division (such as a county, district, or municipality).
-
C.
hasMunicipalStatusChange
Indicates that an entity undergoes a change in its official municipal status (e.g., creation, upgrade, downgrade, merger, or dissolution as a municipality).
-
D.
hasCityStatusSettlement
Indicates that a settlement possesses official recognition or designation as a city.
-
E.
hasLocalGovernmentBody
Indicates that an entity is administered or overseen by a specific local government authority or governing body.
- 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_69a257e6c8788190987dfe705ca2912a |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25def95c48190bb8ab2259f67b583 |
completed | Feb. 28, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69a25b765f488190b2cbe4b45cd42821 |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25c4b773c81908f1017f40b0bfd07 |
completed | Feb. 28, 2026, 3:08 a.m. |
Created at: Feb. 28, 2026, 2:59 a.m.