Triple
T6235430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EGXW |
E139464
|
entity |
| Predicate | basedUnitsInclude |
P69679
|
FINISHED |
| Object | surveillance aircraft units |
—
|
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: surveillance aircraft units | Statement: [EGXW, basedUnitsInclude, surveillance aircraft units]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedUnitsInclude Context triple: [EGXW, basedUnitsInclude, surveillance aircraft units]
-
A.
basedUnit
Indicates that one unit is defined in terms of, or derived from, another more fundamental unit.
-
B.
basedUnitType
Indicates that one unit is defined or derived in terms of another underlying (base) unit type.
-
C.
hasUnitOf
Indicates that a quantity, measurement, or value is expressed in terms of a specific unit.
-
D.
hasBasedUnit
Indicates that something is defined or measured in terms of a specified base unit.
-
E.
supportedUnit
Indicates that one entity provides assistance, resources, or backing to another entity functioning as a unit or sub-organization.
- 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_69c008b0e7ac8190808a59573ee646f3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062f236608190997e77b41095883f |
completed | March 22, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69c05601de6481909d0880048fd7b49a |
completed | March 22, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69c05707d5408190a1d0fd80414ad957 |
completed | March 22, 2026, 8:54 p.m. |
Created at: March 22, 2026, 4:23 p.m.