Triple
T13350157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2014–2015 USS Theodore Roosevelt incidents |
E318047
|
entity |
| Predicate | natureOfPhenomena |
P1626
|
FINISHED |
| Object | unexplained aerial objects |
—
|
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: unexplained aerial objects | Statement: [2014–2015 USS Theodore Roosevelt incidents, natureOfPhenomena, unexplained aerial objects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: natureOfPhenomena Context triple: [2014–2015 USS Theodore Roosevelt incidents, natureOfPhenomena, unexplained aerial objects]
-
A.
hasNaturalPhenomenon
Indicates that a location, region, or environment possesses or is characterized by a particular natural phenomenon (such as a weather event, geological feature, or celestial occurrence).
-
B.
naturalOrHumanCause
Indicates that something results from either natural processes or human activities as its cause.
-
C.
phenomenon
chosen
Indicates that an entity is a perceptible event, occurrence, or process that can be observed or experienced.
-
D.
climateEventType
Indicates the specific kind or category of a climate-related event associated with an entity or occurrence.
-
E.
capturesPhenomenon
Indicates that one entity records, represents, or effectively reflects the occurrence or characteristics of a particular phenomenon.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8c2f1c819094f0970f35f18afa |
completed | April 11, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69d98f6e53d88190bd6aa42f69b10ffb |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:31 p.m.