Triple
T4736021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IndiGo |
E105127
|
entity |
| Predicate | fleetSizeCharacteristic |
P1848
|
FINISHED |
| Object | one of the largest fleets among Indian airlines |
—
|
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: one of the largest fleets among Indian airlines | Statement: [IndiGo, fleetSizeCharacteristic, one of the largest fleets among Indian airlines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fleetSizeCharacteristic Context triple: [IndiGo, fleetSizeCharacteristic, one of the largest fleets among Indian airlines]
-
A.
fleetSize
chosen
Indicates the total number of vehicles, vessels, or units that collectively make up a fleet associated with an entity.
-
B.
fleetType
Indicates the category or classification of a fleet to which an entity belongs or with which it is associated.
-
C.
fleetConfiguration
Indicates how multiple vehicles or vessels are organized, arranged, or structured together as a coordinated fleet.
-
D.
navalForceComposition
Indicates the makeup and distribution of different types of naval units or vessels within a particular naval force.
-
E.
navalFleet
Indicates a relationship where multiple naval vessels are organized and operate together as a coordinated maritime military force.
- 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_69bd43ee52048190b81a4f066534ffb3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64831c58819098758ac1f7839b3a |
completed | March 20, 2026, 3:15 p.m. |
| PD | Predicate disambiguation | batch_69bd6221c3b881908604f35f8de6f16b |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:19 p.m.