Triple
T818750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seventh Avenue |
E17705
|
entity |
| Predicate | hasAlternateName |
P39
|
FINISHED |
| Object | Fashion Avenue |
E98297
|
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: Fashion Avenue | Statement: [Seventh Avenue, hasAlternateName, Fashion Avenue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fashion Avenue Context triple: [Seventh Avenue, hasAlternateName, Fashion Avenue]
-
A.
Fashion Avenue
chosen
Fashion Avenue is the nickname for Manhattan’s Seventh Avenue, a major New York City thoroughfare historically associated with the garment and fashion industry.
-
B.
Vogue
Vogue is a leading international fashion and lifestyle magazine renowned for its influential coverage of style, beauty, culture, and high-profile personalities.
-
C.
HauteLook
HauteLook is an online flash-sale retailer specializing in limited-time discounts on fashion, beauty, and home goods.
-
D.
InStyle
InStyle is a popular fashion and lifestyle magazine known for its celebrity-focused style coverage, beauty tips, and trend reports.
-
E.
Glamour
Glamour is a popular international women's magazine known for its coverage of fashion, beauty, lifestyle, and celebrity culture.
- 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_69a4937bcaac8190a322524ac6f45a5a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ab656418819091ecb09e7ede2825 |
completed | March 1, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7928f8a808190aaf5f2a2f3ee676f |
completed | March 4, 2026, 2:01 a.m. |
Created at: March 1, 2026, 7:38 p.m.