Triple
T2310065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bramley-Moore Dock stadium development |
E51932
|
entity |
| Predicate | typeOfMove |
P23273
|
FINISHED |
| Object | relocation from Goodison Park to new-build stadium |
—
|
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: relocation from Goodison Park to new-build stadium | Statement: [Bramley-Moore Dock stadium development, typeOfMove, relocation from Goodison Park to new-build stadium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfMove Context triple: [Bramley-Moore Dock stadium development, typeOfMove, relocation from Goodison Park to new-build stadium]
-
A.
movementType
Indicates the manner or mode in which an entity moves or is moved from one place or state to another.
-
B.
basicMove
Indicates a fundamental movement action performed by or applied to an entity, without specifying any specialized or complex behavior.
-
C.
hasMovementType
chosen
Indicates the type or mode of movement associated with an entity, such as how it moves or is transported.
-
D.
movementIn
Indicates a relationship where an entity moves within, into, or inside a specified area, space, or container.
-
E.
movementNumber
Indicates the specific sequential position of a movement within a larger multi-movement work or performance.
- 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_69a88b0bb30c81908ded03b006d29387 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc685f05481909c863b29d1f6bacd |
completed | March 7, 2026, 6:32 a.m. |
| PD | Predicate disambiguation | batch_69abc58e88e481908733fdf79d3f8a15 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:49 p.m.