Triple
T17093705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Boraq |
E414786
|
entity |
| Predicate | commercialSpeed |
P125885
|
FINISHED |
| Object | up to 320 km/h |
—
|
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: up to 320 km/h | Statement: [Al Boraq, commercialSpeed, up to 320 km/h]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commercialSpeed Context triple: [Al Boraq, commercialSpeed, up to 320 km/h]
-
A.
commercialService
Indicates a relationship where one entity provides a paid, profit-oriented service to another entity.
-
B.
commercialAccess
Indicates that an entity is permitted to use or access something for commercial or profit-generating purposes.
-
C.
commercial
Indicates that one entity is engaged in a business-related or profit-oriented relationship, activity, or transaction with another entity.
-
D.
commercialPeak
Indicates the time or period when something (such as a product, artist, or business) achieves its highest level of commercial success or popularity.
-
E.
commercialCategory
Indicates the type of commercial classification or business category under which an entity or transaction is grouped.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbfb89348190942984037bd3bd2e |
completed | April 18, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69e35d67b14481909fcdbdeaa5c34785 |
completed | April 18, 2026, 10:31 a.m. |
| PDg | Predicate description generation | batch_69e37542d060819082aa73948eb8ebd4 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 10, 2026, 5:35 a.m.