Triple
T16727445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maruti Suzuki |
E406498
|
entity |
| Predicate | notableModel |
P1503
|
FINISHED |
| Object | Alto |
E822484
|
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: Alto | Statement: [Maruti Suzuki, notableModel, Alto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alto Context triple: [Maruti Suzuki, notableModel, Alto]
-
A.
Alto
chosen
Alto is a municipal barrio (district) of the town of Aibonito in Puerto Rico, forming part of its local administrative and residential divisions.
-
B.
Soprano
Soprano is the surname of the fictional New Jersey mob boss Tony Soprano from the television series "The Sopranos."
-
C.
Hoch
Hoch is the nickname of Ed Hochuli, a well-known former NFL referee recognized for his muscular physique and detailed penalty explanations.
-
D.
Lute
Lute is an American rapper from Charlotte, North Carolina, known for his introspective lyricism and as a member of J. Cole’s Dreamville Records roster.
-
E.
Lute
Lute is the widely used nickname of Hall of Fame college basketball coach Lute Olson, best known for leading the University of Arizona to national prominence.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38748f538819097de1fdee9b42f34 |
completed | April 18, 2026, 1:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d4627b8819087bbd3ae85a67dfc |
completed | May 10, 2026, 2:59 p.m. |
Created at: April 10, 2026, 5:20 a.m.