Triple
T34893270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carolina de Fábregas |
E1006357
|
entity |
| Predicate | modeOfTravelInStory |
P155021
|
FINISHED |
| Object | ocean liner |
—
|
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: ocean liner | Statement: [Carolina de Fábregas, modeOfTravelInStory, ocean liner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modeOfTravelInStory Context triple: [Carolina de Fábregas, modeOfTravelInStory, ocean liner]
-
A.
usedTransportationMode
Indicates that an entity traveled or moved using a specified mode of transportation.
-
B.
travelsInVehicle
Indicates that an entity is moving from one place to another while being transported inside or on a vehicle.
-
C.
transportPattern
Indicates a recurring or characteristic way in which transportation is carried out between entities, such as typical routes, modes, or schedules.
-
D.
mobilityMethod
chosen
Indicates the means or method by which an entity moves or is transported from one place to another.
-
E.
modeOfTravelWithCompanions
Indicates the manner or method of travel used when moving together with one or more companions.
- 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_69f76dbfe5788190ad8b64f241f470c8 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782c98fa08190870b68de2c1ff26a |
completed | May 3, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69f781020cc4819088c40cb8589504e4 |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.