Triple
T25726187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quantum ESPRESSO |
E645119
|
entity |
| Predicate | supportsExchangeCorrelation |
P186941
|
FINISHED |
| Object | local density approximation |
—
|
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: local density approximation | Statement: [Quantum ESPRESSO, supportsExchangeCorrelation, local density approximation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsExchangeCorrelation Context triple: [Quantum ESPRESSO, supportsExchangeCorrelation, local density approximation]
-
A.
supportsDataExchange
Indicates that one entity enables or facilitates the transfer or sharing of data with another entity.
-
B.
associatedWithExchange
Indicates a relationship in which an entity is linked or connected to a particular exchange or trading platform.
-
C.
relatedExchange
Indicates that there is a connection or association between two exchanges or exchange-related events.
-
D.
supportsTransactions
Indicates that one entity provides the capability for another entity to perform or manage transactions reliably.
-
E.
hasSecondaryExchange
Indicates that an entity is additionally listed or traded on a secondary exchange beyond its primary market.
- 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_69e77e85254081908d79ee4e8715f283 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fb2e940d5c8190bceae77daf4ef512 |
completed | May 6, 2026, 12:05 p.m. |
| PD | Predicate disambiguation | batch_69f9fec70bd881909c658a3c5020318b |
completed | May 5, 2026, 2:29 p.m. |
| PDg | Predicate description generation | batch_69fb2e9309fc81909dfefd9020d6fbad |
completed | May 6, 2026, 12:05 p.m. |
Created at: April 21, 2026, 11:04 p.m.