Triple
T98807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orteig Prize |
E1992
|
entity |
| Predicate | nonstopRequirement |
P272
|
FINISHED |
| Object | no intermediate landings allowed |
—
|
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: no intermediate landings allowed | Statement: [Orteig Prize, nonstopRequirement, no intermediate landings allowed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nonstopRequirement Context triple: [Orteig Prize, nonstopRequirement, no intermediate landings allowed]
-
A.
requires
Indicates that one entity must exist, occur, or be satisfied before another entity can exist, occur, or be carried out.
-
B.
requiresPermitFor
Indicates that one entity must obtain formal permission or authorization before performing an action involving another entity.
-
C.
doesNotOperate
Indicates that an entity is not functioning, active, or performing its intended operation in relation to another entity or context.
-
D.
prohibits
chosen
Indicates that one entity forbids or disallows another entity from performing a specific action or being in a certain state.
-
E.
providedFor
Indicates that one entity supplies, furnishes, or makes something available to or on behalf of another entity for its use or benefit.
- 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_69a24d4862f881908cc8b89d3a78031d |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a253b95d4c81909d1f2bc37e799c44 |
completed | Feb. 28, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69a24ebfc5a88190bdd1653b9fa541fe |
completed | Feb. 28, 2026, 2:11 a.m. |
Created at: Feb. 28, 2026, 2:09 a.m.