Triple
T23837398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rindler horizon |
E590890
|
entity |
| Predicate | preventsReceptionOf |
P12540
|
FINISHED |
| Object | signals from beyond the horizon |
—
|
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: signals from beyond the horizon | Statement: [Rindler horizon, preventsReceptionOf, signals from beyond the horizon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preventsReceptionOf Context triple: [Rindler horizon, preventsReceptionOf, signals from beyond the horizon]
-
A.
hasReception
Indicates that an entity hosts, includes, or is associated with a reception event (such as a formal gathering or welcoming function).
-
B.
doesNotPrevent
Indicates that one entity or condition fails to stop, block, or inhibit another event, action, or state from occurring.
-
C.
prohibits
Indicates that one entity forbids or disallows another entity from performing a specific action or being in a certain state.
-
D.
doesNotAccept
Indicates that one entity refuses, rejects, or is not configured to receive or allow something from another entity.
-
E.
doesNotAllow
chosen
Indicates that one entity prevents, forbids, or does not permit another entity from performing a specific action or being in a certain state.
- 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_69e25d1de32c8190a907afe9c3d6cd6d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c883c7108190b3cce6fec0b8609a |
completed | April 29, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f156036ad48190bc2ffdaf39218bcb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 8:07 p.m.