Triple
T20250962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ExpressJet Airlines |
E498552
|
entity |
| Predicate | fleetSizePeak |
P1848
|
FINISHED |
| Object | over 400 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: over 400 aircraft | Statement: [ExpressJet Airlines, fleetSizePeak, over 400 aircraft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fleetSizePeak Context triple: [ExpressJet Airlines, fleetSizePeak, over 400 aircraft]
-
A.
fleetSize
chosen
Indicates the total number of vehicles, vessels, or units that collectively make up a fleet associated with an entity.
-
B.
populationAtPeak
Indicates that an entity’s population size is measured at its highest recorded level during a specified time or condition.
-
C.
numberOfDeployedMissilesPeak
Indicates the maximum number of missiles that were deployed at any point in time.
-
D.
teamCountAtPeak
Indicates the number of team members involved at the highest or peak point of activity, size, or performance.
-
E.
memberCountAtPeak
Indicates the highest number of members that an entity (such as a group or organization) has had at any point in time.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673a79a208190a5a7c0f6515bc393 |
completed | April 20, 2026, 6:42 p.m. |
| PD | Predicate disambiguation | batch_69e55b1b23f88190bdcbe2f81dd226dd |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:41 p.m.