Triple
T8672104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Outer South |
E205820
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Nikorette |
E262877
|
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: Nikorette | Statement: [Outer South, hasTrack, Nikorette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nikorette Context triple: [Outer South, hasTrack, Nikorette]
-
A.
Nicorette
chosen
Nicorette is a leading nicotine replacement therapy brand offering products like gum, lozenges, and patches to help people quit smoking.
-
B.
L&M Menthol
L&M Menthol is a menthol-flavored variant of the L&M cigarette brand, offering a cooler, minty smoking experience.
-
C.
Parliament Menthol
Parliament Menthol is a menthol-flavored variant of Parliament cigarettes known for its recessed filter and smoother, minty taste.
-
D.
Opekta
Opekta was a German-Dutch company that produced and sold pectin-based gelling agents for making jam, notably managed in its Amsterdam branch by Anne Frank’s father, Otto Frank.
-
E.
Kent Menthol
Kent Menthol is a menthol-flavored variant of the Kent brand of cigarettes, offering a minty, cooling smoking experience.
- 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_69ca83529a9c8190b5c075b4f14636ed |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc491a34d08190b0795079d192a03d |
completed | March 31, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecd3a3c5c8190940a61e7e7b3e887 |
completed | April 2, 2026, 8:10 p.m. |
Created at: March 30, 2026, 6:31 p.m.