Triple
T2514704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clinique |
E52784
|
entity |
| Predicate | brandNameMeaning |
P19939
|
FINISHED |
| Object | clinic in French |
—
|
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: clinic in French | Statement: [Clinique, brandNameMeaning, clinic in French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brandNameMeaning Context triple: [Clinique, brandNameMeaning, clinic in French]
-
A.
brandingMeaning
Indicates the conceptual message, values, or identity that a brand is intended to convey or represent.
-
B.
brandNameDerivedFrom
chosen
Indicates that the brand’s name is derived from, based on, or taken from another specified name or source.
-
C.
codeNameMeaning
Indicates that one entity is the meaning, interpretation, or significance associated with another entity’s code name.
-
D.
brand
Indicates that one entity is the commercial brand or label under which another entity (such as a product, service, or organization) is marketed or identified.
-
E.
clubNameMeaning
Indicates the semantic meaning or significance associated with a club’s name.
- 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_69ab4958e76481908a235377dd921c9e |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd5a33234819082ad49fa6594b6be |
completed | March 7, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69abd0bf37c0819088d28b5081ba7556 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:46 p.m.