Triple
T29878401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McDonnell Douglas MD-88 |
E758806
|
entity |
| Predicate | statusWithMajorUSCarriers |
P194469
|
FINISHED |
| Object | retired |
—
|
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: retired | Statement: [McDonnell Douglas MD-88, statusWithMajorUSCarriers, retired]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusWithMajorUSCarriers Context triple: [McDonnell Douglas MD-88, statusWithMajorUSCarriers, retired]
-
A.
operatorFlagCarrierStatus
Indicates whether an operator currently serves as a designated flag carrier under a national or international aviation authority.
-
B.
eligibleCarrier
Indicates that one entity is a valid or qualified carrier option for another entity under specified conditions.
-
C.
formerFlagCarrierStatus
Indicates that an entity previously served as a country's official flag carrier airline but no longer holds that status.
-
D.
starAllianceStatus
Indicates the relationship between an entity and its membership or tier level within the Star Alliance frequent-flyer status program.
-
E.
isMajorCarrierOf
Indicates that one entity serves as the primary or principal transporter or conveyor of another entity (such as goods, signals, or passengers).
- 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_69f2245d0d7081909e37ee328542bcd7 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fd76d1e5208190a6f26651492d1e3c |
completed | May 8, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69fd702a226c81908edfda00f4be4130 |
completed | May 8, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69fd76d0d7608190b350336d6c18182d |
completed | May 8, 2026, 5:38 a.m. |
Created at: April 29, 2026, 5:56 p.m.