Triple
T35701558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transcontinental Air Transport |
E1031598
|
entity |
| Predicate | marketingNameOfService |
P165314
|
FINISHED |
| Object | The Lindbergh Line |
—
|
NE NERFINISHED |
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: The Lindbergh Line | Statement: [Transcontinental Air Transport, marketingNameOfService, The Lindbergh Line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketingNameOfService Context triple: [Transcontinental Air Transport, marketingNameOfService, The Lindbergh Line]
-
A.
marketingNameOf
Indicates that one entity is the marketing or brand name used to promote or refer to another entity.
-
B.
serviceMarketedAs
chosen
Indicates that a service is promoted, advertised, or presented to others under a particular name, brand, or description.
-
C.
marketingNameChange
Indicates that an entity’s marketing or brand name has been changed from one name to another.
-
D.
campaignOrService
Indicates that one entity is a campaign and the other is a service that the campaign promotes, uses, or is associated with.
-
E.
marketingNameEmphasizes
Indicates that a marketing name highlights or draws special attention to a particular feature, attribute, or aspect of something.
- 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_69f76e0d393c8190b6303c64408736db |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:05 p.m.