Triple
T3562742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fourier's law of heat conduction |
E75374
|
entity |
| Predicate | mayFailWhen |
P8788
|
FINISHED |
| Object | at very low temperatures |
—
|
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: at very low temperatures | Statement: [Fourier's law of heat conduction, mayFailWhen, at very low temperatures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayFailWhen Context triple: [Fourier's law of heat conduction, mayFailWhen, at very low temperatures]
-
A.
failsWhen
chosen
Indicates that a particular action, process, or condition does not succeed under the specified circumstances or triggers.
-
B.
mayResultIn
Indicates that one entity has the potential to cause, lead to, or bring about another entity or outcome, without guaranteeing that it will occur.
-
C.
mayReject
Indicates that one entity has the authority or option to refuse, decline, or not accept another entity or proposal.
-
D.
mayNot
Indicates that an entity is not permitted or is prohibited from performing a particular action or entering into a specified relationship.
-
E.
failedOn
Indicates that an attempted action or process did not succeed when applied to a specific target, condition, or step.
- 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_69ad85d45090819086f34fb85d850a1e |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0a60e6c8190a3c3ddae5b6ded54 |
completed | March 8, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69adb834779081908468e182d5f6cf02 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:21 p.m.