Triple
T36036337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Midwife |
E1042412
|
entity |
| Predicate | workBasedOnCountryOfOrigin |
P29866
|
FINISHED |
| Object | Finland |
—
|
NE NERFINISHED |
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: Finland | Statement: [The Midwife, workBasedOnCountryOfOrigin, Finland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workBasedOnCountryOfOrigin Context triple: [The Midwife, workBasedOnCountryOfOrigin, Finland]
-
A.
basedOnWorkCountryOfOrigin
chosen
Indicates that something is determined or derived from the country of origin of a work.
-
B.
workFromCountry
Indicates that an entity performs their work or job while being physically located in a specified country.
-
C.
associatedWorkCountryOfOrigin
Indicates that the related work originates from, or is primarily associated with, a specified country.
-
D.
worksInCountry
Indicates that an entity performs its work or professional activities within the specified country.
-
E.
createdForWorkByCountry
Indicates that a work (such as a product, artwork, or document) was created specifically for or on behalf of a particular country.
- 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_69f76e2d7e8c8190bac4e90734566799 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ad1af4dc81908e3e7042f6c792e6 |
completed | May 3, 2026, 8:16 p.m. |
| PD | Predicate disambiguation | batch_69f7ab75387c819091afc3c2128eb903 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.