Triple
T19265167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harbord Village |
E481755
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Little Italy |
—
|
NE NERFINISHED |
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: Little Italy | Statement: [Harbord Village, adjacentTo, Little Italy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Little Italy Context triple: [Harbord Village, adjacentTo, Little Italy]
-
A.
Little Italy
Little Italy is a historic Cleveland neighborhood known for its Italian-American heritage, restaurants, and cultural festivals.
-
B.
Little Italy
chosen
Little Italy is a vibrant Ottawa neighbourhood known for its Italian heritage, restaurants, cafés, and annual cultural festivals.
-
C.
Little Italy
Little Italy is a historically Italian-American neighborhood in San Francisco’s North Beach district, known for its Italian restaurants, cafes, and cultural heritage.
-
D.
Little Italy
Little Italy is a vibrant San Diego neighborhood known for its Italian heritage, bustling restaurants, and lively street festivals.
-
E.
Little Italy
Little Italy is a historic Baltimore neighborhood known for its Italian-American heritage, family-owned restaurants, and vibrant cultural festivals.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb8ca2e88190baad3b6c199ee036 |
completed | April 20, 2026, 10:10 a.m. |
Created at: April 10, 2026, 1:29 p.m.