Triple
T31771571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University Hospitals |
E810952
|
entity |
| Predicate | regionallyRanked |
P13048
|
FINISHED |
| Object | Cleveland, Ohio area |
—
|
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: Cleveland, Ohio area | Statement: [University Hospitals, regionallyRanked, Cleveland, Ohio area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionallyRanked Context triple: [University Hospitals, regionallyRanked, Cleveland, Ohio area]
-
A.
rankingRegion
Indicates the geographic or administrative region within which a ranking or ordered comparison of entities is defined or evaluated.
-
B.
regionRankContext
chosen
Indicates the relative ranking or position of something within a specific geographic or regional context.
-
C.
areaRank
Indicates the relative ordering or position of an entity based on the size of its area compared to others.
-
D.
nationalRankingScope
Indicates that the ranking being referred to is evaluated at the national (country-wide) level rather than regional or local scopes.
-
E.
nationalRank
Indicates the position or standing of an entity within a ranking system at the national level.
- 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_69f348e463e08190b902d4819195e1f0 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fea5e828cc8190a9b755a645dc56d2 |
completed | May 9, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69fea36443f08190b2aced9b4a0525fd |
completed | May 9, 2026, 3 a.m. |
Created at: April 30, 2026, 11:33 p.m.