Triple
T1335118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeep |
E28729
|
entity |
| Predicate | notableModel |
P1503
|
FINISHED |
| Object | Jeep Renegade |
E28729
|
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: Jeep Renegade | Statement: [Jeep, notableModel, Jeep Renegade]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeep Renegade Context triple: [Jeep, notableModel, Jeep Renegade]
-
A.
Nissan Rogue
The Nissan Rogue is a compact crossover SUV known for its practicality, fuel efficiency, and family-friendly features.
-
B.
Nissan Juke
The Nissan Juke is a subcompact crossover SUV known for its distinctive, unconventional styling and sporty driving character.
-
C.
Nissan Qashqai
The Nissan Qashqai is a compact crossover SUV popular for its practical size, fuel efficiency, and family-friendly versatility, especially in European markets.
-
D.
Jeep
chosen
Jeep is an American automotive marque best known for its rugged sport utility vehicles and off-road capable 4x4s.
-
E.
Qashqai
Qashqai is a Turkic language variety spoken primarily by the Qashqai people in southwestern Iran, closely related to Azerbaijani.
- 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_69a498561a508190a3e1bc137c2b866a |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1eb119881909dd5fbf728d9e8ba |
completed | March 1, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acc62b9bd081909dbe22cbea03f21f |
completed | March 8, 2026, 12:43 a.m. |
Created at: March 1, 2026, 7:55 p.m.