Triple
T34716378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rochelais |
E1000781
|
entity |
| Predicate | appliesToNativesOf |
P70805
|
FINISHED |
| Object | La Rochelle |
—
|
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: La Rochelle | Statement: [Rochelais, appliesToNativesOf, La Rochelle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesToNativesOf Context triple: [Rochelais, appliesToNativesOf, La Rochelle]
-
A.
appliesTo
Indicates that something is relevant, valid, or has effect in relation to a particular entity, case, or context.
-
B.
alsoNativeTo
Indicates that an entity is additionally native to another specified geographic region or habitat, beyond any primary place of origin already stated.
-
C.
appliesAlsoTo
chosen
Indicates that a condition, rule, or characteristic that applies to one entity is additionally applicable to another entity.
-
D.
notNativeTo
Indicates that an entity does not originate from, or is not naturally occurring in, a specified place or environment.
-
E.
nativeOf
Indicates that an entity originates from or was born in a particular place, region, or 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_69f76dad3f108190a280fd0a2f4ee89a |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69ff289541e0819096eeceb8e6332650 |
completed | May 9, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69ff281ab1988190920f0443be9f10cc |
completed | May 9, 2026, 12:27 p.m. |
Created at: May 3, 2026, 3:59 p.m.