Triple
T10875548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Class D airspace |
E256788
|
entity |
| Predicate | typicallySurrounds |
P39152
|
FINISHED |
| Object | smaller towered airports |
—
|
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: smaller towered airports | Statement: [Class D airspace, typicallySurrounds, smaller towered airports]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicallySurrounds Context triple: [Class D airspace, typicallySurrounds, smaller towered airports]
-
A.
surrounds
Indicates that one entity is located all around another entity, enclosing or encircling it on multiple sides or completely.
-
B.
hasSurroundings
Indicates that an entity is located within or encircled by a particular environment, context, or set of surrounding elements.
-
C.
around
Indicates that one entity is located or moves on all or most sides of another entity, encircling or surrounding it spatially.
-
D.
typicallyHolds
chosen
Indicates that a certain relationship or condition generally holds true in typical or normal situations, though not necessarily in all cases.
-
E.
typicallySpared
Indicates that an entity is usually not affected by, excluded from, or left untouched by a particular action, process, or condition.
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7518a1db08190abf0c524b81487fa |
completed | April 9, 2026, 7:13 a.m. |
| PD | Predicate disambiguation | batch_69d70d360c388190a3d829fe8862434f |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:21 p.m.