Triple
T14319562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holte End |
E355043
|
entity |
| Predicate | typeOfSupportersArea |
P59369
|
FINISHED |
| Object | home end |
—
|
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: home end | Statement: [Holte End, typeOfSupportersArea, home end]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfSupportersArea Context triple: [Holte End, typeOfSupportersArea, home end]
-
A.
numberOfSupporters
Indicates the quantity of entities that provide backing, endorsement, or support to a given entity or proposition.
-
B.
supporterType
Indicates the specific role or category of support a supporter provides in relation to another entity or activity.
-
C.
supportersGroupType
Indicates the classification or category of a supporters group associated with an entity.
-
D.
areaOfSupport
Indicates the spatial region or domain within which an entity provides support, assistance, or backing to another.
-
E.
typeOfAreaRepresented
chosen
Indicates that one entity specifies the kind or category of area that another entity represents.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de883a93548190ac671b001d15d0bd |
completed | April 14, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69de2a9515f4819081aabf251bca5878 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:13 a.m.