Triple
T4331160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York Magazine |
E96750
|
entity |
| Predicate | hasSection |
P35
|
FINISHED |
| Object | Grub Street |
E430831
|
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: Grub Street | Statement: [New York Magazine, hasSection, Grub Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grub Street Context triple: [New York Magazine, hasSection, Grub Street]
-
A.
Grub Street
chosen
Grub Street is a popular food and restaurant blog and section of New York Magazine known for its coverage of dining trends, chefs, and the culinary scene.
-
B.
The Street
The Street is a British television drama series known for its gritty, character-driven stories set in a working-class neighborhood.
-
C.
Remedios Street
Remedios Street is a notable road in the Malate district of Manila, Philippines, known for its nightlife, restaurants, and cultural landmarks.
-
D.
Ward of Cornhill
The Ward of Cornhill is one of the historic administrative and electoral divisions of the City of London, centered on the traditional commercial area around Cornhill.
-
E.
Bleecker Street
Bleecker Street is an American independent film distribution company known for releasing critically acclaimed arthouse and specialty films.
- 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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3514c39748190900e13e70ed8848c |
completed | March 12, 2026, 11:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5db98ae888190aac5b5b7839ae7dd |
completed | March 14, 2026, 10:05 p.m. |
Created at: March 12, 2026, 11:13 p.m.