Triple
T34893054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fernando Fábregas |
E1006345
|
entity |
| Predicate | primaryFictionalLocation |
P49286
|
FINISHED |
| Object | luxury transatlantic 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: luxury transatlantic ocean liner | Statement: [Fernando Fábregas, primaryFictionalLocation, luxury transatlantic ocean liner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryFictionalLocation Context triple: [Fernando Fábregas, primaryFictionalLocation, luxury transatlantic ocean liner]
-
A.
fictionalUniverseLocation
Indicates that one entity is a location or setting within the fictional universe to which the other entity belongs or in which it takes place.
-
B.
fictionalPlaceType
Indicates that a place is a fictional location and specifies what type or category of fictional place it is.
-
C.
basedInFictionalLocation
chosen
Indicates that an entity’s primary setting, origin, or operations occur in a fictional (non-real) location.
-
D.
notableFictionalLocationIn
Indicates that a fictional location is notably situated within or strongly associated with a particular larger place or setting.
-
E.
fictionalLocationAssociatedWith
Indicates a relationship where a fictional entity (such as a character, event, or work) is connected to or set in a particular fictional location.
- 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_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4 p.m.