Triple
T4747513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grange Park |
E105396
|
entity |
| Predicate | hasGroundCover |
P2022
|
FINISHED |
| Object | grass |
—
|
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: grass | Statement: [Grange Park, hasGroundCover, grass]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGroundCover Context triple: [Grange Park, hasGroundCover, grass]
-
A.
hasSoil
Indicates that one entity possesses, contains, or is associated with a particular type or instance of soil.
-
B.
coversGrounds
Indicates that one entity extends over, occupies, or lies across the surface area of another entity (typically land or grounds).
-
C.
hasMeadow
Indicates that one entity possesses, contains, or includes a meadow as part of its area or composition.
-
D.
hasLandCoverage
chosen
Indicates that a specified area or region is covered or occupied by a particular type of land surface or land use.
-
E.
usesGroundSystem
Indicates that one entity operates, relies on, or interacts with a particular ground-based system to perform its functions or services.
- 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_69bd43f07fa48190954317d01600994a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64c567288190a420e6825ee72822 |
completed | March 20, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69bd6223defc8190823665a6592c1154 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:20 p.m.