Triple
T32616161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GEH |
E833789
|
entity |
| Predicate | hasHelicopter |
P24154
|
FINISHED |
| Object | Charlie Tango |
—
|
NE NERFINISHED |
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: Charlie Tango | Statement: [GEH, hasHelicopter, Charlie Tango]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHelicopter Context triple: [GEH, hasHelicopter, Charlie Tango]
-
A.
isHelicopterOf
chosen
Indicates that one entity is a helicopter that belongs to, is operated by, or is otherwise associated with another entity.
-
B.
isHelicopterVariantOf
Indicates that one helicopter model is a modified or derived version of another helicopter model.
-
C.
hasHelicopterTrainingRole
Indicates that an entity holds a role or position specifically related to the training or instruction of helicopter operations.
-
D.
isHelicopterOnly
Indicates that the subject is restricted to or designated exclusively for use by helicopters.
-
E.
hasHelicopterTraffic
Indicates that there is regular or notable helicopter movement or operations occurring in or over a given area or location.
- 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_69f3492bfa648190b6ae472074634e29 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd3a69f1e08190a11aed015bff0858 |
completed | May 8, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69fd39124180819080ca7911d3515d6d |
completed | May 8, 2026, 1:14 a.m. |
Created at: May 1, 2026, 1:06 a.m.