Triple
T37520734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Life of William Congreve |
E932764
|
entity |
| Predicate | biographicalSubjectBirthplace |
P1
|
FINISHED |
| Object | England |
—
|
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: England | Statement: [Life of William Congreve, biographicalSubjectBirthplace, England]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: biographicalSubjectBirthplace Context triple: [Life of William Congreve, biographicalSubjectBirthplace, England]
-
A.
placeOfBirth
chosen
Indicates the location where a person or other entity was born.
-
B.
creatorPlaceOfBirth
Indicates that the place specified is the location where the creator of an entity was born.
-
C.
depictsPersonPlaceOfBirth
Indicates that an image or representation shows a person together with the place where they were born.
-
D.
containsBirthplaceTown
Indicates that one entity includes or specifies the town where another entity was born.
-
E.
birthPlaceAccordingTo
Indicates that an entity’s place of birth is given as a specific location according to a particular source or authority.
- 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_69f76ec730988190b5aa4f9cb9afd518 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbacaf54648190811ea33b34907e8e |
completed | May 6, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69fba883f770819091059c6f6c6af9f7 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:17 p.m.