Triple
T6118442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hippodrome d’Auteuil |
E136417
|
entity |
| Predicate | hasGrandstandType |
P31102
|
FINISHED |
| Object | outdoor grandstands |
—
|
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: outdoor grandstands | Statement: [Hippodrome d’Auteuil, hasGrandstandType, outdoor grandstands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGrandstandType Context triple: [Hippodrome d’Auteuil, hasGrandstandType, outdoor grandstands]
-
A.
hasGrandstandFeature
Indicates that something possesses or includes a grandstand-related feature or characteristic.
-
B.
hasStandsType
chosen
Indicates that an entity has or is associated with a particular type or category of stands (e.g., display stands, support stands, or similar structures).
-
C.
hasShowground
Indicates that an entity possesses, contains, or is associated with a designated showground area for events or exhibitions.
-
D.
hasBleacherSeating
Indicates that a venue or location is equipped with bleacher-style seating for spectators.
-
E.
bandstandStyle
Indicates the architectural or design style characterizing a particular bandstand.
- 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_69c0089f851c81909e5e189a617dcff6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05bec9b8c8190b3268b0ba952aae6 |
completed | March 22, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69c049f9ab3c81909c8ab6466f6a2935 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:14 p.m.