Triple
T18245355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meydan dirt track |
E436935
|
entity |
| Predicate | hasGrandstandView |
P13017
|
FINISHED |
| Object | Meydan grandstand |
—
|
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: Meydan grandstand | Statement: [Meydan dirt track, hasGrandstandView, Meydan grandstand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGrandstandView Context triple: [Meydan dirt track, hasGrandstandView, Meydan grandstand]
-
A.
hasGrandstandFeature
Indicates that something possesses or includes a grandstand-related feature or characteristic.
-
B.
hasGrandstandStyle
Indicates that something is characterized by or associated with a particular style or type of grandstand.
-
C.
hasViewingPlatform
chosen
Indicates that an entity includes or is equipped with a designated platform or area intended for viewing or observing something.
-
D.
hasBleacherSeating
Indicates that a venue or location is equipped with bleacher-style seating for spectators.
-
E.
hasSpectatorAmenities
Indicates that a place or facility provides amenities or features intended for the comfort or convenience of spectators.
- 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f7e6fbac8190bf252c4337f50c29 |
completed | April 19, 2026, 3:42 p.m. |
| PD | Predicate disambiguation | batch_69e44fcdee748190bae6fb76e0cb22f3 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:33 a.m.