Triple
T25955726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aziz and Gwen Sancar Foundation |
E654092
|
entity |
| Predicate | supportsExchangeBetween |
P192749
|
FINISHED |
| Object | United States |
—
|
NE NERFINISHED |
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: United States | Statement: [Aziz and Gwen Sancar Foundation, supportsExchangeBetween, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsExchangeBetween Context triple: [Aziz and Gwen Sancar Foundation, supportsExchangeBetween, United States]
-
A.
supportsDataExchange
Indicates that one entity enables or facilitates the transfer or sharing of data with another entity.
-
B.
supportsExchangeCorrelation
Indicates that one entity provides or enables the handling of exchange–correlation effects (typically in electronic structure or quantum mechanical calculations) for another entity.
-
C.
isExchangedVia
Indicates that something is transferred or traded from one party to another through a specified medium, channel, or mechanism.
-
D.
isInterchangeWith
Indicates that two entities can be substituted or exchanged for one another without loss of function, value, or compatibility.
-
E.
associatedWithExchange
Indicates a relationship in which an entity is linked or connected to a particular exchange or trading platform.
- 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_69e7ab40ac788190a771bc499eb1ae5f |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69fd2a215d6c8190a1a428ccaee603f1 |
completed | May 8, 2026, 12:11 a.m. |
| PD | Predicate disambiguation | batch_69fd28ef19688190bb8370f2812a43e7 |
completed | May 8, 2026, 12:06 a.m. |
| PDg | Predicate description generation | batch_69fd2a2095f88190bfcbcb2973516ffc |
completed | May 8, 2026, 12:11 a.m. |
Created at: April 22, 2026, 8:44 a.m.