Triple
T14918831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gelderse Derby |
E371454
|
entity |
| Predicate | involvesClub |
P6630
|
FINISHED |
| Object | Vitesse |
E371439
|
NE 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: Vitesse | Statement: [Gelderse Derby, involvesClub, Vitesse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vitesse Context triple: [Gelderse Derby, involvesClub, Vitesse]
-
A.
Vitesse
chosen
Vitesse is a professional Dutch football club based in Arnhem that competes in the country's top leagues and European competitions.
-
B.
Goodspeed
Goodspeed is the surname of Dr. Stanley Goodspeed, a fictional FBI chemical weapons specialist portrayed by Nicolas Cage in the action film "The Rock."
-
C.
Velaro
Velaro is a family of high-speed electric multiple unit trains developed by Siemens for use on major rail networks worldwide.
-
D.
Uesen
Uesen is a district or locality within the town of Achim in Lower Saxony, Germany.
-
E.
TurboExpress
The TurboExpress was NEC's handheld version of the TurboGrafx-16 console, notable for its advanced color screen and ability to play full home console HuCard games on the go.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded62f76bc81909ebc8899096cd1a0 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e88e4a08190a56b4a1336e07bdf |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 2:33 a.m.