Triple
T13644555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RC Racer |
E326068
|
entity |
| Predicate | locatedInCity |
P40
|
FINISHED |
| Object | Chessy |
E177698
|
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: Chessy | Statement: [RC Racer, locatedInCity, Chessy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chessy Context triple: [RC Racer, locatedInCity, Chessy]
-
A.
Chessy
chosen
Chessy is a small commune in the eastern suburbs of Paris, France, best known as the location of Disneyland Paris.
-
B.
Chesser
Chesser is a residential and commercial district in the southwest of Edinburgh, Scotland, known for its housing estates, retail park, and proximity to the Union Canal.
-
C.
Ketchy Shuby
Ketchy Shuby is a Jamaican reggae band known for its modern take on classic roots and rocksteady sounds.
-
D.
Joshy
Joshy is a casual, affectionate nickname commonly used for someone named Josh.
-
E.
Joshy
Joshy is a 2016 dark comedy film written and directed by Jeff Baena that follows a group of friends on a drug-fueled getaway after a bachelor party goes awry.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc60635d08190899806fe8936f02a |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78af948408190bca7f2e46863391e |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 9:51 p.m.