Triple
T1684673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delta One |
E36414
|
entity |
| Predicate | branding |
P1500
|
FINISHED |
| Object | Delta One |
E55205
|
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: Delta One | Statement: [Delta One, branding, Delta One]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Delta One Context triple: [Delta One, branding, Delta One]
-
A.
Delta One
Delta One is Delta Air Lines’ flagship international business-class cabin, featuring lie-flat seats, premium dining, and enhanced amenities for long-haul travelers.
-
B.
Flying Blue
Flying Blue is the joint frequent flyer loyalty program of Air France–KLM and partner airlines, offering members miles, elite status levels, and travel-related rewards.
-
C.
SPEEDBIRD
SPEEDBIRD is the radio callsign used by British Airways for its commercial flight operations.
-
D.
Delta One (Delta Air Lines)
chosen
Delta One is Delta Air Lines’ premium international and long-haul business-class cabin, featuring lie-flat seats, enhanced dining, and elevated service.
-
E.
The Yankee Clipper
The Yankee Clipper was the legendary New York Yankees center fielder Joe DiMaggio, famed for his graceful play and his record 56-game hitting streak.
- 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_69a886151508819084fa7f1ce6e05577 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa627c29548190b60ee3bc744069a0 |
completed | March 6, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8ac462f0819094e7a5751c6975c6 |
completed | March 8, 2026, 2:42 p.m. |
Created at: March 4, 2026, 7:29 p.m.