Triple
T37664768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warped Forest |
E937795
|
entity |
| Predicate | hasLogEquivalent |
P7398
|
FINISHED |
| Object | warped stem |
—
|
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 stem | Statement: [Warped Forest, hasLogEquivalent, warped stem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLogEquivalent Context triple: [Warped Forest, hasLogEquivalent, warped stem]
-
A.
isLogarithmicallyEquivalentTo
Indicates that two quantities are equal when compared on a logarithmic scale, differing only by a constant factor in their original (linear) values.
-
B.
hasLogP
Indicates the partition coefficient (logP) value associated with a substance, expressing how it distributes between a hydrophobic (e.g., octanol) and hydrophilic (e.g., water) phase.
-
C.
hasEquivalent
chosen
Indicates that two entities are considered equal in value, meaning, or function within a given context.
-
D.
canLog
Indicates that an entity has the ability or permission to record events or information into a log.
-
E.
hasLogarithmicRelation
Indicates that one quantity varies as the logarithm of another, expressing a relationship where changes in one are proportional to the logarithm of changes in the other.
- 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_69ffa9677be08190852c8ef6c2545fed |
completed | May 9, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69ffa6570e2c8190a9d7b37f12b91d9a |
completed | May 9, 2026, 9:25 p.m. |
Created at: May 3, 2026, 4:18 p.m.