Triple
T28906631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Store |
E733100
|
entity |
| Predicate | hasFrenchTitleOf |
P7000
|
FINISHED |
| Object | The Sunblind |
—
|
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: The Sunblind | Statement: [Le Store, hasFrenchTitleOf, The Sunblind]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFrenchTitleOf Context triple: [Le Store, hasFrenchTitleOf, The Sunblind]
-
A.
equivalentTitleInFrench
chosen
Indicates that one entity’s title is the equivalent or corresponding title of another entity, specifically expressed in French.
-
B.
hasLatinTitleOf
Indicates that one entity has, uses, or is associated with the Latin-language title corresponding to another entity.
-
C.
hasCanadianTitle
Indicates that an entity holds or is associated with an official title recognized within the Canadian system (e.g., honorific, nobility, or formal designation)
-
D.
titleInLanguage
Indicates that a specific title or name is expressed in a particular language.
-
E.
hasLatinTitle
Indicates that an entity possesses a title or name expressed in Latin.
- 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_69f05b096d208190958a57d2e4b5a93a |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f6a8df16a88190a23820e64a3b1f92 |
completed | May 3, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 28, 2026, 8:07 a.m.