Triple
T12673637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boots |
E302747
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | No7 |
E302748
|
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: No7 | Statement: [Boots, brand, No7]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: No7 Context triple: [Boots, brand, No7]
-
A.
No7
chosen
No7 is a popular British skincare and cosmetics brand known for its anti-aging products and science-led formulations, sold primarily through Boots and Walgreens stores.
-
B.
N7
N7 is the IATA airline designator assigned to Nordic Regional Airlines, a Finnish regional carrier.
-
C.
N7
N7 is a major national route in South Africa that runs roughly north–south, linking Cape Town with the Namibian border and serving as a key regional transport corridor.
-
D.
NOB
NOB is the abbreviation for the Schweizerische Nordostbahn, a former Swiss railway company that operated in northeastern Switzerland in the 19th and early 20th centuries.
-
E.
NOB
NOB is the abbreviation for Dutch National Opera & Ballet, the leading institution for opera and ballet performances in the Netherlands.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961af991c8190b6079cb57e593b8f |
completed | April 10, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671a163188190b6077c77f9a81681 |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:20 p.m.