Triple
T26321287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ouanalao |
E662117
|
entity |
| Predicate | precolonialNameOf |
P66951
|
FINISHED |
| Object | Saint Barthélemy |
—
|
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: Saint Barthélemy | Statement: [Ouanalao, precolonialNameOf, Saint Barthélemy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: precolonialNameOf Context triple: [Ouanalao, precolonialNameOf, Saint Barthélemy]
-
A.
preColonialNameFor
chosen
Indicates that one name was used for something in the pre-colonial period and refers to the same entity later known by a different (typically colonial or post-colonial) name.
-
B.
formerColonyName
Indicates that one entity is the historical or previous name used for a colony that later changed its political status or designation.
-
C.
countryBeforeOccupation
Indicates that an entity was recognized as a country prior to a specified occupation or takeover event.
-
D.
colonialNameUsedBy
Indicates that a colonial-era name for a place, group, or entity is used or applied by a particular agent or source.
-
E.
previousNameOfCountry
Indicates that one country name was formerly used as the official name of another country.
- 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_69ee812e73048190aae587f1d51e5a06 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60f2bce2881909a81127b9824b3cd |
completed | May 2, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69f5f7ff548c8190a23e98c5e66e0bc7 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 10:28 p.m.