Triple
T32990768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hotel Arthur Leland |
E844077
|
entity |
| Predicate | isProminentExampleOf |
P135707
|
FINISHED |
| Object | early 20th-century high-rise hotel |
—
|
LITERAL 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: early 20th-century high-rise hotel | Statement: [Hotel Arthur Leland, isProminentExampleOf, early 20th-century high-rise hotel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isProminentExampleOf Context triple: [Hotel Arthur Leland, isProminentExampleOf, early 20th-century high-rise hotel]
-
A.
isCanonicalExampleOf
chosen
Indicates that something serves as a standard or typical instance that exemplifies a concept, category, or pattern.
-
B.
isMostProminentIn
Indicates that an entity stands out as the most notable, influential, or dominant among comparable entities within a specified context or domain.
-
C.
isOneOfMostProminentIn
Indicates that an entity ranks among the most notable, influential, or widely recognized members within a specified group, category, or domain.
-
D.
notableExampleAt
Indicates that something serves as a prominent or illustrative example of something else in a particular context or location.
-
E.
notableExampleBy
Indicates that something serves as a prominent or illustrative example provided or created by a particular entity.
- F. None of above.
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_69f3494d99988190b502c68926af2c4d |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6db6af1d88190989810182354d60f |
completed | May 3, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69f6d82d068c8190940a3200ed760e38 |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:22 a.m.