Triple
T3585497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cadillac STS |
E75898
|
entity |
| Predicate | trimLevel |
P11486
|
FINISHED |
| Object |
STS V6
STS V6 is a six-cylinder variant of the Cadillac STS luxury sedan, offering a balance of performance and comfort below the higher-powered V8 models.
|
E371132
|
NE FINISHED |
How this triple was built (4 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: STS V6 | Statement: [Cadillac STS, trimLevel, STS V6]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: STS V6 Context triple: [Cadillac STS, trimLevel, STS V6]
-
A.
VTST
VTST is the station code for the Vermont/Sunset station on the Los Angeles Metro Rail system.
-
B.
Sol station
Sol station is a major central railway and metro hub in Madrid, Spain, serving as a key interchange point for Cercanías commuter trains and multiple urban transit lines beneath Puerta del Sol.
-
C.
VAST
VAST (Video Ad Serving Template) is an industry-standard XML-based specification that defines how video ads are served and tracked across different video players and ad servers.
-
D.
STS
STS is the standard mission designation prefix used for NASA’s Space Shuttle flights, standing for Space Transportation System.
-
E.
VMS
VMS is a regional public transport association in the Chemnitz area of Germany that coordinates and manages integrated fares and services across multiple transit operators.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: STS V6 Triple: [Cadillac STS, trimLevel, STS V6]
Generated description
STS V6 is a six-cylinder variant of the Cadillac STS luxury sedan, offering a balance of performance and comfort below the higher-powered V8 models.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: STS V6 Target entity description: STS V6 is a six-cylinder variant of the Cadillac STS luxury sedan, offering a balance of performance and comfort below the higher-powered V8 models.
-
A.
VTST
VTST is the station code for the Vermont/Sunset station on the Los Angeles Metro Rail system.
-
B.
Sol station
Sol station is a major central railway and metro hub in Madrid, Spain, serving as a key interchange point for Cercanías commuter trains and multiple urban transit lines beneath Puerta del Sol.
-
C.
VAST
VAST (Video Ad Serving Template) is an industry-standard XML-based specification that defines how video ads are served and tracked across different video players and ad servers.
-
D.
STS
STS is the standard mission designation prefix used for NASA’s Space Shuttle flights, standing for Space Transportation System.
-
E.
VMS
VMS is a regional public transport association in the Chemnitz area of Germany that coordinates and manages integrated fares and services across multiple transit operators.
- F. None of above. chosen
Provenance (5 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_69ad85d6dc3c8190b491b79b83e25461 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc135ee3481908ef8dc41af632710 |
completed | March 8, 2026, 6:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b402fcc5f481909c66319f75a8dc85 |
completed | March 13, 2026, 12:28 p.m. |
| NEDg | Description generation | batch_69b406d014d88190b488b9b1f70fecca |
completed | March 13, 2026, 12:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4086f6da4819084778dffa33ef116 |
completed | March 13, 2026, 12:51 p.m. |
Created at: March 8, 2026, 3:22 p.m.