Triple
T37664773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warped Forest |
E937795
|
entity |
| Predicate | hasGrassEquivalent |
P190550
|
FINISHED |
| Object | warped nylium |
—
|
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: warped nylium | Statement: [Warped Forest, hasGrassEquivalent, warped nylium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGrassEquivalent Context triple: [Warped Forest, hasGrassEquivalent, warped nylium]
-
A.
hasGrass
Indicates that one entity possesses or is covered by grass.
-
B.
hasMeadow
Indicates that one entity possesses, contains, or includes a meadow as part of its area or composition.
-
C.
isGrassSubfamily
Indicates that one entity is a botanical subfamily within the grass family (Poaceae) to which the other entity belongs.
-
D.
greensGrass
Indicates that an entity (typically an animal) feeds on or consumes grass as its primary or regular food source.
-
E.
hasAttractiveFoliage
Indicates that an entity possesses foliage that is visually appealing or ornamental in appearance.
- 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcc7779d248190afdb348a95375443 |
completed | May 7, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69fcc58566a0819082d5ea36e03bf0c6 |
completed | May 7, 2026, 5:01 p.m. |
| PDg | Predicate description generation | batch_69fcc73264e08190b0b5917f32226fae |
completed | May 7, 2026, 5:09 p.m. |
Created at: May 3, 2026, 4:18 p.m.