Triple
T30597301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Night Nurse |
E778820
|
entity |
| Predicate | worksPrimarilyAt |
P93741
|
FINISHED |
| Object | hidden clinic |
—
|
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: hidden clinic | Statement: [Night Nurse, worksPrimarilyAt, hidden clinic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worksPrimarilyAt Context triple: [Night Nurse, worksPrimarilyAt, hidden clinic]
-
A.
workedPrimarilyIn
Indicates that an entity carried out the majority of its work, activity, or career within a particular field, location, or context.
-
B.
workedPrimarilyOn
Indicates that an entity devoted the majority of its work, effort, or activity to a particular project, field, or subject.
-
C.
workAt
chosen
Indicates that an entity is employed by or performs work for a particular organization, company, or place.
-
D.
worksNear
Indicates that one entity performs its work or duties in close physical proximity to another entity.
-
E.
ownsWork
Indicates that one entity has legal ownership or proprietary rights over a particular work or creation.
- 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_69f224a1570c8190a85d3ac330479a79 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
Created at: April 29, 2026, 8:24 p.m.