Triple
T2396045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chevrolet Avalanche |
E47652
|
entity |
| Predicate | trimLevel |
P11486
|
FINISHED |
| Object |
LTZ
LTZ is a high-end luxury trim level used by Chevrolet, offering upgraded comfort, technology, and styling features compared to lower trims.
|
E262683
|
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: LTZ | Statement: [Chevrolet Avalanche, trimLevel, LTZ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LTZ Context triple: [Chevrolet Avalanche, trimLevel, LTZ]
-
A.
L.T.
L.T. is the nickname of Lawrence Taylor, the Hall of Fame linebacker widely regarded as one of the greatest defensive players in NFL history.
-
B.
Lontzen
Lontzen is a municipality in eastern Belgium, located in the country’s German-speaking region near the border with Germany.
-
C.
LMT
LMT is the stock ticker symbol for Lockheed Martin Corporation, a major American aerospace, defense, and security company.
-
D.
Laz
Laz is a South Caucasian (Kartvelian) language traditionally spoken by the Laz people along the southeastern Black Sea coast, particularly in northeastern Turkey and parts of Georgia.
-
E.
Luft
Luft is a surname most notably associated with Sid Luft, the American film producer and third husband of entertainer Judy Garland.
- 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: LTZ Triple: [Chevrolet Avalanche, trimLevel, LTZ]
Generated description
LTZ is a high-end luxury trim level used by Chevrolet, offering upgraded comfort, technology, and styling features compared to lower trims.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LTZ Target entity description: LTZ is a high-end luxury trim level used by Chevrolet, offering upgraded comfort, technology, and styling features compared to lower trims.
-
A.
L.T.
L.T. is the nickname of Lawrence Taylor, the Hall of Fame linebacker widely regarded as one of the greatest defensive players in NFL history.
-
B.
Lontzen
Lontzen is a municipality in eastern Belgium, located in the country’s German-speaking region near the border with Germany.
-
C.
LMT
LMT is the stock ticker symbol for Lockheed Martin Corporation, a major American aerospace, defense, and security company.
-
D.
Laz
Laz is a South Caucasian (Kartvelian) language traditionally spoken by the Laz people along the southeastern Black Sea coast, particularly in northeastern Turkey and parts of Georgia.
-
E.
Luft
Luft is a surname most notably associated with Sid Luft, the American film producer and third husband of entertainer Judy Garland.
- 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_69a88a1c450c81909f61abb8b6863885 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc879b1b88190be8d0337d9a17bd0 |
completed | March 7, 2026, 6:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3dc44dc819099b8914b878c5638 |
completed | March 9, 2026, 11:49 a.m. |
| NEDg | Description generation | batch_69aeb4de29988190ae860fc6f241f225 |
completed | March 9, 2026, 11:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69aeb562560c8190a03c6d8ce6d75956 |
completed | March 9, 2026, 11:56 a.m. |
Created at: March 4, 2026, 7:57 p.m.