Triple
T6836187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeep Grand Cherokee |
E157455
|
entity |
| Predicate | hasTrim |
P64537
|
FINISHED |
| Object |
SRT
SRT is a high-performance trim level of Jeep vehicles, featuring upgraded powertrains, sport-tuned components, and enhanced styling.
|
E622179
|
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: SRT | Statement: [Jeep Grand Cherokee, hasTrim, SRT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SRT Context triple: [Jeep Grand Cherokee, hasTrim, SRT]
-
A.
SRT
SRT is a South Korean high-speed rail service that operates on major routes including those connecting through Daejeon.
-
B.
SRT
SRT was the former name of Toronto’s Line 3 Scarborough, an elevated light rapid transit line that operated in the city’s eastern suburbs.
-
C.
RTM
RTM is the commonly used abbreviation for Rosetta Terminology Mapping, a system for standardizing and aligning terminology across different datasets or domains.
-
D.
NRT
NRT is the three-letter IATA airport code for Narita International Airport, a major international gateway serving the Tokyo metropolitan area in Japan.
-
E.
TRT
TRT is the time zone used in Turkey, corresponding to UTC+3.
- 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: SRT Triple: [Jeep Grand Cherokee, hasTrim, SRT]
Generated description
SRT is a high-performance trim level of Jeep vehicles, featuring upgraded powertrains, sport-tuned components, and enhanced styling.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SRT Target entity description: SRT is a high-performance trim level of Jeep vehicles, featuring upgraded powertrains, sport-tuned components, and enhanced styling.
-
A.
SRT
SRT was the former name of Toronto’s Line 3 Scarborough, an elevated light rapid transit line that operated in the city’s eastern suburbs.
-
B.
SRT
SRT is a South Korean high-speed rail service that operates on major routes including those connecting through Daejeon.
-
C.
RTM
RTM is the commonly used abbreviation for Rosetta Terminology Mapping, a system for standardizing and aligning terminology across different datasets or domains.
-
D.
NRT
NRT is the three-letter IATA airport code for Narita International Airport, a major international gateway serving the Tokyo metropolitan area in Japan.
-
E.
TRT
TRT is the time zone used in Turkey, corresponding to UTC+3.
- 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_69c6882c53608190b99aebef079b23bd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d7ca96008190ba79563c2a9a9b0e |
completed | March 27, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723ffce448190ac8edbaaa1517972 |
completed | March 28, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_69c724b85ec48190ba52ebdcb5cd70db |
completed | March 28, 2026, 12:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c72568866c8190bf88a02e566d5c3a |
completed | March 28, 2026, 12:48 a.m. |
Created at: March 27, 2026, 2:19 p.m.