Triple
T235268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U-2 incident of 1960 |
E4495
|
entity |
| Predicate | pilotSentence |
P8367
|
FINISHED |
| Object | 10 years imprisonment |
—
|
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: 10 years imprisonment | Statement: [U-2 incident of 1960, pilotSentence, 10 years imprisonment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pilotSentence Context triple: [U-2 incident of 1960, pilotSentence, 10 years imprisonment]
-
A.
sentence
Indicates that one entity is a sentence that expresses, contains, or encodes information about another entity.
-
B.
pilotRun
Indicates that an entity conducts or participates in a preliminary or trial implementation of a process, system, or project to test and evaluate it before full-scale deployment.
-
C.
notablePilot
Indicates that an entity is a distinguished or noteworthy pilot associated with another entity (such as a vehicle, event, or organization).
-
D.
coPilotOf
Indicates that one entity serves as the co-pilot assisting and supporting another entity in operating or navigating a vehicle or craft.
-
E.
sentenceType
Indicates the classification of a sentence according to its communicative function or structural type (e.g., question, statement, command).
- 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25cc9ab2c81909af278a07f86aa1e |
completed | Feb. 28, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69a25b5dc640819092669575731c393f |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25c2bda788190bcfc0bc94686f9e0 |
completed | Feb. 28, 2026, 3:08 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.