Triple
T26915679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gargantua |
E677510
|
entity |
| Predicate | mottoOfFeaturedInstitution |
P161324
|
FINISHED |
| Object | Fais ce que voudras |
—
|
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: Fais ce que voudras | Statement: [Gargantua, mottoOfFeaturedInstitution, Fais ce que voudras]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mottoOfFeaturedInstitution Context triple: [Gargantua, mottoOfFeaturedInstitution, Fais ce que voudras]
-
A.
hasMottoOfParentInstitution
Indicates that an institution has a motto that is inherited from or identical to the motto of its parent institution.
-
B.
mottoOfOrganizationLocation
Indicates that a particular motto is associated with an organization specifically in a given location.
-
C.
institutionTypeUsingMotto
Indicates that an institution’s type or category is determined, characterized, or identified by its motto.
-
D.
mottoOriginalLanguage
Indicates the language in which a motto was originally formulated or expressed.
-
E.
honoreeMotto
Indicates that a particular motto is formally associated with or attributed to the honoree.
- F. None of above. chosen
Provenance (4 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_69eee9bcef1c8190be88586bb902bb9b |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f61fde093c81908c03c224547b251f |
completed | May 2, 2026, 4:01 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
| PDg | Predicate description generation | batch_69f6125e54e0819088ee33a20efcc9e6 |
completed | May 2, 2026, 3:03 p.m. |
Created at: April 27, 2026, 6:04 a.m.