Triple
T11927281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nolita |
E283814
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | North of Little Italy |
E52416
|
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: North of Little Italy | Statement: [Nolita, fullName, North of Little Italy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: North of Little Italy Context triple: [Nolita, fullName, North of Little Italy]
-
A.
Little Italy, Manhattan
chosen
Little Italy, Manhattan is a historic New York City neighborhood known for its Italian-American heritage, traditional restaurants, and annual cultural festivals.
-
B.
Little Italy
Little Italy is a historic Baltimore neighborhood known for its Italian-American heritage, family-owned restaurants, and vibrant cultural festivals.
-
C.
Little Italy
Little Italy is a historic Cleveland neighborhood known for its Italian-American heritage, restaurants, and cultural festivals.
-
D.
Little Italy
Little Italy is a vibrant Ottawa neighbourhood known for its Italian heritage, restaurants, cafés, and annual cultural festivals.
-
E.
Palmerston–Little Italy area
The Palmerston–Little Italy area is a vibrant downtown Toronto neighbourhood known for its historic Italian community, lively restaurants and cafés, and characteristic residential streets.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e8e3ff308190851ce656286bc67e |
completed | April 10, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f440525e9881909b21df139d97d986 |
completed | May 1, 2026, 5:55 a.m. |
Created at: April 8, 2026, 9:45 p.m.