Triple
T12403053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stade Rennais F.C. |
E296307
|
entity |
| Predicate | usesStadiumNameLanguage |
P39780
|
FINISHED |
| Object | Breton |
—
|
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: Breton | Statement: [Stade Rennais F.C., usesStadiumNameLanguage, Breton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesStadiumNameLanguage Context triple: [Stade Rennais F.C., usesStadiumNameLanguage, Breton]
-
A.
stadiumOfficialName
Indicates the formal, legally recognized name assigned to a stadium.
-
B.
appliesToStadiumName
chosen
Indicates that something is relevant or specifically associated with the name of a stadium.
-
C.
stadiumFor
Indicates that a particular stadium serves as the designated home or primary venue for a specific team, event, or organization.
-
D.
stadiumNameContext
Indicates that a specific name is used as the stadium name for an entity within a particular contextual setting or source.
-
E.
countryNationalStadiumOf
Indicates that a given stadium serves as the official national stadium of a specified country.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e1888b48190bd750f839a26e99e |
completed | April 10, 2026, 7:23 p.m. |
| PD | Predicate disambiguation | batch_69d94d354b488190adc83fb4f2770dd5 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:55 p.m.