Triple
T34524717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indian Navy aircraft carriers |
E886368
|
entity |
| Predicate | typicalAirWingSizeRange |
P205456
|
FINISHED |
| Object | 20–40 aircraft |
—
|
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: 20–40 aircraft | Statement: [Indian Navy aircraft carriers, typicalAirWingSizeRange, 20–40 aircraft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAirWingSizeRange Context triple: [Indian Navy aircraft carriers, typicalAirWingSizeRange, 20–40 aircraft]
-
A.
typicalAviationElementSize
Indicates the characteristic or standard physical size commonly associated with an aviation-related element.
-
B.
aircraftSizeClass
Indicates the size category or class an aircraft belongs to based on its physical dimensions or capacity.
-
C.
wingSize
Indicates the relative or measured size of an entity’s wing(s) in the relationship.
-
D.
airWingType
Indicates the classification or category of an air wing associated with an entity.
-
E.
aircraftLength
Indicates the physical longitudinal measurement of an aircraft from its nose to its tail.
- 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_69f349cd7c148190aa99192b126d1527 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 2:02 a.m.