Triple
T9044649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EcoTec3 V8 |
E216722
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Cadillac |
E11890
|
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: Cadillac | Statement: [EcoTec3 V8, brand, Cadillac]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cadillac Context triple: [EcoTec3 V8, brand, Cadillac]
-
A.
Cadillac
Cadillac is a small city in northern Michigan known for its surrounding lakes, outdoor recreation, and role as a regional tourism and service hub.
-
B.
Cadillac
Cadillac is a Montreal Metro station on the Green Line serving the Mercier–Hochelaga-Maisonneuve borough in Montreal, Quebec, Canada.
-
C.
Cadillac
chosen
Cadillac is a luxury automobile brand known for its premium vehicles and long-standing association with American upscale motoring.
-
D.
Buick
Buick is an American automobile marque known for producing upscale, comfort-oriented vehicles positioned between mainstream and luxury brands.
-
E.
Cadillac Fairview
Cadillac Fairview is a major Canadian real estate company that develops, owns, and manages prominent shopping centres and office properties across Canada.
- 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_69ca83d22d488190adbce5e020e9cd1d |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b137cec8190bd1b812c10d9542a |
completed | April 1, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfebada5948190add8813ba547647f |
completed | April 3, 2026, 4:32 p.m. |
Created at: March 30, 2026, 7:09 p.m.