Triple
T16550729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DS 7 |
E402064
|
entity |
| Predicate | predecessor |
P97
|
FINISHED |
| Object |
DS 5
DS 5 is a compact executive car produced by the French premium brand DS Automobiles, known for its distinctive avant-garde styling and upscale features.
|
E1219460
|
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: DS 5 | Statement: [DS 7, predecessor, DS 5]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DS 5 Context triple: [DS 7, predecessor, DS 5]
-
A.
DS 3
The DS 3 is a premium subcompact car from French brand DS Automobiles, known for its distinctive styling and upscale features.
-
B.
DS 4
The DS 4 is a premium compact hatchback/crossover from French brand DS Automobiles, known for its distinctive styling, upscale interior, and focus on comfort and technology.
-
C.
DS512
DS512 is a World Trade Organization dispute case concerning Russia’s restrictions on the transit of goods from Ukraine through Russian territory.
-
D.
DS567
DS567 is a World Trade Organization dispute case concerning Saudi Arabia’s compliance with its obligations to protect intellectual property rights.
-
E.
DS 7
The DS 7 is a premium compact crossover SUV from French brand DS Automobiles, known for its distinctive design, upscale interior, and advanced technology.
- 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: DS 5 Triple: [DS 7, predecessor, DS 5]
Generated description
DS 5 is a compact executive car produced by the French premium brand DS Automobiles, known for its distinctive avant-garde styling and upscale features.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DS 5 Target entity description: DS 5 is a compact executive car produced by the French premium brand DS Automobiles, known for its distinctive avant-garde styling and upscale features.
-
A.
DS 3
The DS 3 is a premium subcompact car from French brand DS Automobiles, known for its distinctive styling and upscale features.
-
B.
DS 4
The DS 4 is a premium compact hatchback/crossover from French brand DS Automobiles, known for its distinctive styling, upscale interior, and focus on comfort and technology.
-
C.
DS512
DS512 is a World Trade Organization dispute case concerning Russia’s restrictions on the transit of goods from Ukraine through Russian territory.
-
D.
DS567
DS567 is a World Trade Organization dispute case concerning Saudi Arabia’s compliance with its obligations to protect intellectual property rights.
-
E.
DS 7
The DS 7 is a premium compact crossover SUV from French brand DS Automobiles, known for its distinctive design, upscale interior, and advanced technology.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34fc451dc8190b571d5010f4017f4 |
completed | April 18, 2026, 9:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067b6ca44819085145eb48356e7b4 |
completed | May 10, 2026, 11:10 a.m. |
| NEDg | Description generation | batch_6a00687d228081909d0a39f2c23d4e4d |
completed | May 10, 2026, 11:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a006907419881909e8f71714bbe054a |
completed | May 10, 2026, 11:16 a.m. |
Created at: April 10, 2026, 5:15 a.m.