Triple
T31380751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bandimere Speedway |
E800445
|
entity |
| Predicate | hasBurnoutBox |
P81248
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Bandimere Speedway, hasBurnoutBox, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBurnoutBox Context triple: [Bandimere Speedway, hasBurnoutBox, yes]
-
A.
hasBurnUnit
Indicates that one entity (typically a medical facility) includes or is equipped with a specialized unit dedicated to the treatment and care of burn patients.
-
B.
hasBoxes
chosen
Indicates that an entity possesses, contains, or is associated with one or more boxes.
-
C.
burnedDownIn
Indicates that a structure or object was destroyed by fire during a particular event or incident.
-
D.
isBurning
Indicates that an entity is currently on fire or undergoing combustion.
-
E.
burningSince
Indicates that an object or substance has been continuously burning from a specified starting time up to the present or another reference time.
- 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_69f224e84da08190abfc2f17494a33c8 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_69f760a35b988190904e6267553ad2fe |
completed | May 3, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69f75eb3d6f081908c933474eb359e3d |
completed | May 3, 2026, 2:41 p.m. |
Created at: April 29, 2026, 9:18 p.m.