Triple
T18563422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French banlieues |
E453702
|
entity |
| Predicate | termInLanguage |
P76956
|
FINISHED |
| Object | French language |
—
|
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: French language | Statement: [French banlieues, termInLanguage, French language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termInLanguage Context triple: [French banlieues, termInLanguage, French language]
-
A.
termLanguage
chosen
Indicates the language in which a given term is expressed or defined.
-
B.
officialTermLanguage
Indicates the language in which an official term is formally expressed or defined.
-
C.
languageTerm
Indicates that one entity is a linguistic expression (word, phrase, or term) used to denote or label the other entity.
-
D.
termInCitation
Indicates that a specific term appears within, or is referenced by, a particular citation.
-
E.
languageOfCoinedTerm
Indicates the language in which a particular term was originally coined or first formulated.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53afc57448190abd90167d7e12a18 |
completed | April 19, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69e478c16e0c8190b03966aa23c395a6 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:42 a.m.