Triple
T17752792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wigner-Seitz radius r_s |
E443152
|
entity |
| Predicate | smallValueRegime |
P128205
|
FINISHED |
| Object | high-density electron gas |
—
|
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: high-density electron gas | Statement: [Wigner-Seitz radius r_s, smallValueRegime, high-density electron gas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: smallValueRegime Context triple: [Wigner-Seitz radius r_s, smallValueRegime, high-density electron gas]
-
A.
isSmallScale
Indicates that the related activity, operation, or entity occurs on a limited or minor scale, involving relatively small size, scope, or capacity.
-
B.
isSmallDistrict
Indicates that a district is classified as small, typically based on its limited size, population, or administrative scope.
-
C.
smallCaseDollarLimit
Indicates a constraint or maximum allowable amount of money expressed in small-denomination (lower-value) dollar units.
-
D.
isSmall
Indicates that one entity has a size that is relatively small, either in absolute terms or compared to a reference standard or another entity.
-
E.
smallIsland
Indicates that one entity is an island that is small in size or area relative to typical islands.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4841c0540819093a32d759775c61f |
completed | April 19, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69e3cde9dc288190af0e2198487f2051 |
completed | April 18, 2026, 6:31 p.m. |
| PDg | Predicate description generation | batch_69e3cfab7edc8190b663282d565a0389 |
completed | April 18, 2026, 6:38 p.m. |
Created at: April 10, 2026, 10:10 a.m.