Triple
T6850939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rolex |
E158011
|
entity |
| Predicate | hasModelLine |
P27119
|
FINISHED |
| Object | Rolex Air-King |
E158011
|
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: Rolex Air-King | Statement: [Rolex, hasModelLine, Rolex Air-King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rolex Air-King Context triple: [Rolex, hasModelLine, Rolex Air-King]
-
A.
Rolex
chosen
Rolex is a prestigious Swiss luxury watchmaker renowned worldwide for its high-end timepieces and strong association with elite sports and motorsport events.
-
B.
Longines
Longines is a Swiss luxury watchmaker renowned for its elegant timepieces and long-standing association with equestrian sports and precision timekeeping.
-
C.
Panerai
Panerai is a luxury Italian watchmaker renowned for its distinctive, oversized timepieces that blend Italian design with Swiss watchmaking.
-
D.
Hublot
Hublot is a Swiss luxury watchmaker known for its bold, innovative designs and fusion of traditional watchmaking with modern materials.
-
E.
Chopard Happy Sport
Chopard Happy Sport is a luxury Swiss watch collection renowned for its playful design featuring freely moving diamonds between two sapphire crystals.
- 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_69c6882fae988190864cbba788c5ebb4 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d84c45708190918adfc028252400 |
completed | March 27, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7881e300881909c1cad76bc8b23ff |
completed | March 28, 2026, 7:49 a.m. |
Created at: March 27, 2026, 2:20 p.m.