Triple
T2173783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London penetration depth |
E48480
|
entity |
| Predicate | isSmallerFor |
P11452
|
FINISHED |
| Object | materials with higher superfluid density |
—
|
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: materials with higher superfluid density | Statement: [London penetration depth, isSmallerFor, materials with higher superfluid density]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSmallerFor Context triple: [London penetration depth, isSmallerFor, materials with higher superfluid density]
-
A.
smallerThan
chosen
Indicates that one entity has a strictly lesser size, dimension, or magnitude than another entity.
-
B.
weakerThan
Indicates that one entity has less strength, power, or effectiveness than another entity.
-
C.
isSmallestMeaningfulScaleIn
Indicates that something represents the lowest level of scale within a context at which distinctions or effects are still meaningful or significant.
-
D.
isLargestOf
Indicates that one entity has the greatest size, extent, or magnitude among a specified set of entities.
-
E.
isMinimumWhen
Indicates that a value or state is at its smallest or least level precisely under certain specified conditions or circumstances.
- 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_69a88aa3faa48190995b233af6525815 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc1559ff481908efe3f214b2570dc |
completed | March 7, 2026, 6:10 a.m. |
| PD | Predicate disambiguation | batch_69abbd9efc1c81909a65044a1ffc9038 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:45 p.m.