Triple
T36288957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saguenéens |
E893167
|
entity |
| Predicate | frenchNameMeaning |
P153708
|
FINISHED |
| Object | people from Saguenay |
—
|
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: people from Saguenay | Statement: [Saguenéens, frenchNameMeaning, people from Saguenay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frenchNameMeaning Context triple: [Saguenéens, frenchNameMeaning, people from Saguenay]
-
A.
FrenchNameMeaning
chosen
Indicates that the relationship specifies the meaning or etymological sense of a given French name.
-
B.
currentNameMeaning
Indicates that the predicate expresses the meaning or significance of an entity’s current name.
-
C.
languageNameMeaning
Indicates that the predicate relates a language’s name to its meaning or etymological significance.
-
D.
namingMeaning
Indicates that one entity provides the meaning, sense, or semantic interpretation of a given name or naming expression for another entity.
-
E.
commonNounMeaningInFrench
Indicates that a common noun has a particular meaning or translation in the French language.
- 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_69f76e4955c08190b8cfddca34fc0242 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7ba6d06f48190a71b5a2f19e2232f |
completed | May 3, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:09 p.m.