Triple
T13590615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aspect experiment on Bell inequality tests (1982) |
E324682
|
entity |
| Predicate | addressesLoophole |
P103646
|
FINISHED |
| Object | locality loophole (partially) |
—
|
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: locality loophole (partially) | Statement: [Aspect experiment on Bell inequality tests (1982), addressesLoophole, locality loophole (partially)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: addressesLoophole Context triple: [Aspect experiment on Bell inequality tests (1982), addressesLoophole, locality loophole (partially)]
-
A.
addresses
Indicates that one entity directs speech, communication, or written correspondence specifically toward another entity.
-
B.
addressedThrough
Indicates that an issue, request, or communication is handled, resolved, or processed by means of a specified channel, method, or intermediary.
-
C.
locationAddressed
Indicates that a communication, message, or action is specifically directed to or intended for a particular location or address.
-
D.
addressesPosition
Indicates that one entity communicates with, responds to, or deals with the role, status, or job position held by another entity.
-
E.
helpsAddress
chosen
Indicates that one entity contributes to solving, mitigating, or dealing with an issue, need, or problem associated with another entity.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb055cc98819091fab597b69e5e3e |
completed | April 12, 2026, 2:46 p.m. |
| PD | Predicate disambiguation | batch_69dbae18eaf48190809e8b365856cde9 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:49 p.m.