Triple
T9701173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allerton Hotel |
E234778
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Magnificent Mile skyline |
E2927
|
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: Magnificent Mile skyline | Statement: [Allerton Hotel, partOf, Magnificent Mile skyline]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magnificent Mile skyline Context triple: [Allerton Hotel, partOf, Magnificent Mile skyline]
-
A.
Magnificent Mile
chosen
The Magnificent Mile is a famous upscale shopping and dining district along Michigan Avenue in downtown Chicago, known for its luxury retailers, historic architecture, and vibrant urban atmosphere.
-
B.
Chicago skyline
The Chicago skyline is the iconic, high-rise cityscape along Lake Michigan, renowned for its distinctive skyscrapers and architectural diversity.
-
C.
Museum Mile
Museum Mile is a renowned stretch of New York City's Fifth Avenue famous for its dense concentration of major art and cultural museums.
-
D.
Museum Mile
Museum Mile is a prominent cultural district in Bonn, Germany, known for its dense concentration of major museums and art institutions.
-
E.
Philadelphia skyline
The Philadelphia skyline is the distinctive cluster of high-rise buildings and landmarks that defines the city’s urban silhouette along the Schuylkill and Delaware Rivers.
- 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_69ca84cc78808190a56f3402b7c139a7 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d70f55c8190934f37c25e9d4ba4 |
completed | April 1, 2026, 10:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1912e645881908d223a93f3ee61da |
completed | April 4, 2026, 10:31 p.m. |
Created at: March 30, 2026, 8:18 p.m.