Triple
T25167346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hawrelak Park |
E630214
|
entity |
| Predicate | isLarge |
P104266
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Hawrelak Park, isLarge, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLarge Context triple: [Hawrelak Park, isLarge, true]
-
A.
isSmall
Indicates that one entity has a size that is relatively small, either in absolute terms or compared to a reference standard or another entity.
-
B.
isLargestOf
Indicates that one entity has the greatest size, extent, or magnitude among a specified set of entities.
-
C.
hasLargeArea
chosen
Indicates that an entity occupies or covers a spatial region whose size exceeds a specified large-area threshold.
-
D.
isMassive
Indicates that one entity has an extremely large size, scale, or extent relative to typical or comparable entities.
-
E.
hasLargeScale
Indicates that an entity operates, exists, or is implemented at a large or extensive scale relative to typical or baseline cases.
- 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_69e75a87c9b88190ab60731902a99750 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f46d42ec0081908231beebf495cf3e |
completed | May 1, 2026, 9:07 a.m. |
| PD | Predicate disambiguation | batch_69f44d8043b081908bbffd7f044b4f26 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 21, 2026, 12:18 p.m.