Triple
T29132212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nu descendant un escalier n° 2 |
E738409
|
entity |
| Predicate | continentOfCurrentLocation |
P32867
|
FINISHED |
| Object | North America |
—
|
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: North America | Statement: [Nu descendant un escalier n° 2, continentOfCurrentLocation, North America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continentOfCurrentLocation Context triple: [Nu descendant un escalier n° 2, continentOfCurrentLocation, North America]
-
A.
continentOfLocation
Indicates that one entity is the continent on which the other entity is geographically located.
-
B.
continentOfHomeCountry
Indicates that the specified continent is the one in which the referenced entity’s home country is located.
-
C.
continentOfResidence
chosen
Indicates the continent on which a given entity currently resides or is based.
-
D.
continentOfDestination
Indicates that a specified continent is the destination location associated with an entity’s movement, travel, or targeting.
-
E.
continentOfCountry
Indicates that a given continent is the one on which a specified country is geographically located.
- 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_69f07cb29cdc8190afa55444553de60c |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
Created at: April 28, 2026, 11:32 a.m.