Triple
T37664769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warped Forest |
E937795
|
entity |
| Predicate | hasLeafEquivalent |
P7398
|
FINISHED |
| Object | warped wart block |
—
|
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 wart block | Statement: [Warped Forest, hasLeafEquivalent, warped wart block]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLeafEquivalent Context triple: [Warped Forest, hasLeafEquivalent, warped wart block]
-
A.
hasLeaves
Indicates that an entity possesses leaves as part of its structure or form.
-
B.
hasEquivalent
chosen
Indicates that two entities are considered equal in value, meaning, or function within a given context.
-
C.
hasApproximateLeaves
Indicates that one entity possesses a number of leaves that is approximately equal to the number of leaves of another entity.
-
D.
hasStateEquivalent
Indicates that two entities share an equivalent state or condition, even if they are not otherwise identical.
-
E.
hasLeafTip
Indicates that one entity possesses or exhibits a particular type or form of leaf tip.
- 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe96c2647c819082989f11e1ae3d35 |
completed | May 9, 2026, 2:06 a.m. |
| PD | Predicate disambiguation | batch_69fe928615448190af939e5a94be55bb |
completed | May 9, 2026, 1:48 a.m. |
Created at: May 3, 2026, 4:18 p.m.