Triple
T20947065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hackney South and Shoreditch |
E515869
|
entity |
| Predicate | notableAreaType |
P94682
|
FINISHED |
| Object | inner-city constituency |
—
|
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: inner-city constituency | Statement: [Hackney South and Shoreditch, notableAreaType, inner-city constituency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableAreaType Context triple: [Hackney South and Shoreditch, notableAreaType, inner-city constituency]
-
A.
notableAreaWithin
Indicates that one area is a particularly significant or noteworthy part located inside another, larger area.
-
B.
notableTargetArea
Indicates that an action, effect, or focus is specifically directed toward a particularly important or prominent area or region.
-
C.
notableCollectionArea
Indicates that an entity is recognized for having a significant or noteworthy collection focused on a particular geographic area or region.
-
D.
notableTypeOf
chosen
Indicates that one entity is a particularly prominent, well-known, or exemplary instance or subtype of another entity.
-
E.
notableOperationArea
Indicates the geographic area or region where an entity primarily conducts or is recognized for its significant operations or activities.
- 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_69e0b4fcd678819087a304291f14330a |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fad97aa48190b4be692e3afce8c9 |
completed | April 21, 2026, 4:19 a.m. |
| PD | Predicate disambiguation | batch_69e5c9b1bae48190a845165fed1b005e |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:57 p.m.