Triple
T15733605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enerjet |
E381408
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object | ENERJET |
E381408
|
NE 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: ENERJET | Statement: [Enerjet, callsign, ENERJET]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ENERJET Context triple: [Enerjet, callsign, ENERJET]
-
A.
Enerjet
chosen
Enerjet was a Canadian low-cost charter airline that later rebranded and relaunched as Lynx Air, focusing on ultra-low-cost scheduled passenger services.
-
B.
Kenergy
Kenergy is a playful pop-culture term capturing the exuberant, slightly oblivious yet endearing masculine vibe embodied by Ryan Gosling’s portrayal of Ken in the Barbie movie.
-
C.
GenOn Energy
GenOn Energy was a major U.S. power generation company that operated a large fleet of fossil-fuel power plants before being absorbed into NRG Energy.
-
D.
Energodar
Energodar is a Ukrainian city best known for hosting the Zaporizhzhia Nuclear Power Plant, the largest nuclear power station in Europe.
-
E.
E-CO Energi
E-CO Energi is a Norwegian energy company primarily involved in the production and distribution of hydroelectric power.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fd3614481908b2694b1d3550058 |
completed | April 16, 2026, 2:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff82fed7888190b45f28ac91e0079e |
completed | May 9, 2026, 6:54 p.m. |
Created at: April 10, 2026, 4:46 a.m.