Triple
T18319925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Quoz Sprint |
E438844
|
entity |
| Predicate | distanceInFurlongs |
P131361
|
FINISHED |
| Object | 6 furlongs |
—
|
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: 6 furlongs | Statement: [Al Quoz Sprint, distanceInFurlongs, 6 furlongs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceInFurlongs Context triple: [Al Quoz Sprint, distanceInFurlongs, 6 furlongs]
-
A.
approximateDistanceFurlongs
Indicates an estimated or not-exact distance between entities, measured in furlongs.
-
B.
flightDistance
Indicates the measured distance covered by a flight between its origin and destination.
-
C.
approximateLengthInMiles
Indicates the estimated distance or extent of something measured in miles.
-
D.
distanceToHayByRoad_km
Indicates the distance, measured in kilometers, between two locations when traveling by road.
-
E.
raceDistanceApprox
Indicates that the distance of a race is approximately equal to a specified value, allowing for some margin of error rather than requiring an exact match.
- F. None of above. chosen
Provenance (4 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aa4d3308190883714e1ef6a1d84 |
completed | April 19, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69e44fe4ee10819086b4142444fca1f5 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a0ba208190a5fe92832a8f7a49 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:36 a.m.