Triple
T736084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Titel |
E14934
|
entity |
| Predicate | hasBirthplaceOfOccupation |
P1
|
FINISHED |
| Object | physicist (Mileva Marić) |
—
|
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: physicist (Mileva Marić) | Statement: [Titel, hasBirthplaceOfOccupation, physicist (Mileva Marić)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBirthplaceOfOccupation Context triple: [Titel, hasBirthplaceOfOccupation, physicist (Mileva Marić)]
-
A.
placeOfBirth
chosen
Indicates the location where a person or other entity was born.
-
B.
hasNotablePersonBornHere
Indicates that a notable or distinguished person was born at the referenced place.
-
C.
formerResidenceOf
Indicates that a location was once the place where a person or entity lived or was based, but is no longer their current residence.
-
D.
occupationOf
Indicates that one entity holds or performs the job, role, or profession associated with another entity.
-
E.
servedAsResidenceOf
Indicates that something functioned as the home or dwelling place of a particular person or group.
- 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_69a4934d9930819099eed80096b0597d |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a66820548190b373deb117187c2c |
completed | March 1, 2026, 8:49 p.m. |
| PD | Predicate disambiguation | batch_69a4a4fafee081909bf356854c09aaff |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.