Triple
T12189159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UnityPoint Health – Allen Hospital |
E290414
|
entity |
| Predicate | isOneOfLargestEmployers |
P104208
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [UnityPoint Health – Allen Hospital, isOneOfLargestEmployers, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOneOfLargestEmployers Context triple: [UnityPoint Health – Allen Hospital, isOneOfLargestEmployers, true]
-
A.
hasMajorEmployer
Indicates that an entity has a primary or most significant employer with which it is chiefly affiliated for work or occupation.
-
B.
isMajorEmployerLocationIn
Indicates that a location is a primary or significant site where an employer conducts its employment activities or has a major workforce presence.
-
C.
isMajorCompanyIn
Indicates that a company is a leading or dominant business entity within a specified country, region, or market.
-
D.
hasEmployees
Indicates that one entity employs one or more other entities as its workers or staff.
-
E.
isOneOfLargestBanksIn
Indicates that a bank ranks among the largest financial institutions within the specified geographic or market region.
- F. None of above. chosen
Provenance (4 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d938cd2edc8190b1971349dbc0dee0 |
completed | April 10, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69d91c38321c819080d500d0d64a04f6 |
completed | April 10, 2026, 3:50 p.m. |
| PDg | Predicate description generation | batch_69d938ca32908190bd56f563efcbe8a0 |
completed | April 10, 2026, 5:52 p.m. |
Created at: April 8, 2026, 9:50 p.m.