Triple
T2310067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bramley-Moore Dock stadium development |
E51932
|
entity |
| Predicate | publicSupportLevel |
P37965
|
FINISHED |
| Object | high among Everton supporters |
—
|
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: high among Everton supporters | Statement: [Bramley-Moore Dock stadium development, publicSupportLevel, high among Everton supporters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicSupportLevel Context triple: [Bramley-Moore Dock stadium development, publicSupportLevel, high among Everton supporters]
-
A.
typeOfSupport
Indicates the kind or category of assistance, help, or backing provided in a given context.
-
B.
providesSupportTo
Indicates that one entity offers help, resources, or reinforcement to another entity to aid its function, stability, or success.
-
C.
supportBase
Indicates that one entity serves as a foundational or backing structure that physically or functionally supports another entity.
-
D.
featuresSupporter
Indicates that one entity serves as a supporter, advocate, or promoter of another entity or its cause.
-
E.
configurationLevel
Indicates the degree or tier of settings or parameters applied to configure something within a system or context.
- 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_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. |
| PDg | Predicate description generation | batch_69abc682d094819081a96ffb77c4c42a |
completed | March 7, 2026, 6:32 a.m. |
Created at: March 4, 2026, 7:49 p.m.