Triple
T1342352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chevrolet Trailblazer |
E28492
|
entity |
| Predicate | trimLevel |
P11486
|
FINISHED |
| Object |
ACTIV
ACTIV is an off-road-oriented trim level of the Chevrolet Trailblazer that features rugged styling cues and enhanced capability for light adventure driving.
|
E154002
|
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: ACTIV | Statement: [Chevrolet Trailblazer, trimLevel, ACTIV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ACTIV Context triple: [Chevrolet Trailblazer, trimLevel, ACTIV]
-
A.
ACT
ACT is the standard vehicle registration code used for the Australian Capital Territory in Australia.
-
B.
ACT
ACT is NATO’s strategic command responsible for leading the alliance’s military transformation, innovation, and future capability development.
-
C.
ACT
ACT is a standardized college admissions test in the United States that assesses high school students' readiness for college-level work.
-
D.
SACT
SACT is the Supreme Allied Commander Transformation, the NATO strategic commander responsible for leading the alliance’s military transformation and capability development.
-
E.
ACES
ACES is a college focused on agricultural, consumer, and environmental sciences, commonly associated with land-grant universities such as the University of Illinois at Urbana-Champaign.
- 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: ACTIV Triple: [Chevrolet Trailblazer, trimLevel, ACTIV]
Generated description
ACTIV is an off-road-oriented trim level of the Chevrolet Trailblazer that features rugged styling cues and enhanced capability for light adventure driving.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ACTIV Target entity description: ACTIV is an off-road-oriented trim level of the Chevrolet Trailblazer that features rugged styling cues and enhanced capability for light adventure driving.
-
A.
ACT
ACT is the standard vehicle registration code used for the Australian Capital Territory in Australia.
-
B.
ACT
ACT is NATO’s strategic command responsible for leading the alliance’s military transformation, innovation, and future capability development.
-
C.
ACT
ACT is a standardized college admissions test in the United States that assesses high school students' readiness for college-level work.
-
D.
SACT
SACT is the Supreme Allied Commander Transformation, the NATO strategic commander responsible for leading the alliance’s military transformation and capability development.
-
E.
ACES
ACES is a college focused on agricultural, consumer, and environmental sciences, commonly associated with land-grant universities such as the University of Illinois at Urbana-Champaign.
- 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_69a49854eb3481908c7d56b2e449a290 |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c2174d048190a6e9380df302265f |
completed | March 1, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acc632cbc88190a64897f1b101c699 |
completed | March 8, 2026, 12:43 a.m. |
| NEDg | Description generation | batch_69acc6dbd80881908d640ee204ce9a12 |
completed | March 8, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acc8199f508190a86c18ad9085d341 |
completed | March 8, 2026, 12:51 a.m. |
Created at: March 1, 2026, 7:56 p.m.