Triple
T35019371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julio |
E1010151
|
entity |
| Predicate | narrativeSettingLocation |
P9801
|
FINISHED |
| Object | 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: transatlantic ocean liner | Statement: [Julio, narrativeSettingLocation, transatlantic ocean liner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narrativeSettingLocation Context triple: [Julio, narrativeSettingLocation, transatlantic ocean liner]
-
A.
placeOfSetting
Indicates the location or environment where an event, scene, or situation takes place.
-
B.
narrativeLocationType
Indicates the type or role of a location within the structure or context of a narrative (e.g., setting, origin, destination).
-
C.
locationOfNarrative
chosen
Indicates the place or setting where the events or story described in the narrative occur.
-
D.
narrativeSettingOfWork
Indicates that a particular place, time, or context serves as the narrative setting in which a work’s story or events occur.
-
E.
workOfFictionSetting
Indicates that a work of fiction is set in, or primarily takes place within, a particular location, time, or environment.
- 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_69f76dcc3ac8819096a3ed52f5fa2523 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd231cab588190ad0953dc8f4af8f2 |
completed | May 7, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69fd1aa3f1c481909fe6e9cab1383551 |
completed | May 7, 2026, 11:05 p.m. |
Created at: May 3, 2026, 4:01 p.m.