Triple
T2982911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Bond Street |
E80551
|
entity |
| Predicate | hasLuxuryBrandPresence |
P40804
|
FINISHED |
| Object | Rolex |
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 | Statement: [Old Bond Street, hasLuxuryBrandPresence, Rolex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rolex Context triple: [Old Bond Street, hasLuxuryBrandPresence, Rolex]
-
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.
TAG Heuer
TAG Heuer is a Swiss luxury watchmaker renowned for its high-end mechanical and connected timepieces that blend traditional craftsmanship with modern technology.
-
D.
Chopard
Chopard is a Swiss luxury watch and jewelry manufacturer renowned for its high-end timepieces, fine jewelry, and long-standing association with prestigious events like the Cannes Film Festival.
-
E.
Seiko
Seiko is a Japanese given name commonly used for women and borne by various notable figures in politics, entertainment, and sports.
- 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_69ad8b15f6ac8190be5fd16a33edcb4f |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9e11c4188190a3ae8fd0cbd8c2c0 |
completed | March 8, 2026, 4:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b108f5e5c88190b9dd0a67cb159854 |
completed | March 11, 2026, 6:17 a.m. |
Created at: March 8, 2026, 2:58 p.m.