Triple
T28149014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gardeners’ World |
E714560
|
entity |
| Predicate | regularLocation |
P26564
|
FINISHED |
| Object | Longmeadow |
—
|
NE NERFINISHED |
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: Longmeadow | Statement: [Gardeners’ World, regularLocation, Longmeadow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regularLocation Context triple: [Gardeners’ World, regularLocation, Longmeadow]
-
A.
regularPart
Indicates that one entity is a standard, non-exceptional component or segment of another entity within a regular or typical structure.
-
B.
ordinaryPosition
Indicates that an entity occupies its usual or standard position relative to a reference frame or context.
-
C.
recurringLocation
chosen
Indicates that an event, action, or state happens repeatedly at the specified location over time.
-
D.
regularCategory
Indicates that a category satisfies the additional structural conditions required to be considered a “regular” category, typically involving stable image factorizations and certain pullback properties.
-
E.
isRegularAt
Indicates that a function or mapping behaves regularly (e.g., is analytic, smooth, or non-singular) at a specified point or region, without irregularities or singularities there.
- 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_69efd6b033208190bf74f80a147e2092 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f7626667f48190ad90867eb67ec582 |
completed | May 3, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_69f76175d6608190b60b268e20f49ed9 |
completed | May 3, 2026, 2:53 p.m. |
Created at: April 27, 2026, 9:58 p.m.