Triple
T3281151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giovanni's Room |
E68873
|
entity |
| Predicate | openingLocationInStory |
P9801
|
FINISHED |
| Object | a house in the south of France |
—
|
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: a house in the south of France | Statement: [Giovanni's Room, openingLocationInStory, a house in the south of France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingLocationInStory Context triple: [Giovanni's Room, openingLocationInStory, a house in the south of France]
-
A.
positionInStory
Indicates the point or role an event, character, or element occupies within the overall sequence or structure of a story.
-
B.
locationOfNarrative
chosen
Indicates the place or setting where the events or story described in the narrative occur.
-
C.
storyElement
Indicates that one entity functions as a narrative component or part within the structure of another entity’s story.
-
D.
firstLocation
Indicates the initial or primary place where an entity is situated, originates, or where an event or relationship begins.
-
E.
narrativeStart
Indicates the point or event at which a narrative, story, or sequence of events begins.
- 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_69ad859c463481909ca4be267336c290 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb032d76c81909c568a4e56d12ce9 |
completed | March 8, 2026, 5:21 p.m. |
| PD | Predicate disambiguation | batch_69ada420167c81909b6e2702db296d9e |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:10 p.m.