Triple
T33595218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Bradshaw |
E860542
|
entity |
| Predicate | settingObserved |
P191379
|
FINISHED |
| Object | Weimar Berlin |
—
|
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: Weimar Berlin | Statement: [William Bradshaw, settingObserved, Weimar Berlin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingObserved Context triple: [William Bradshaw, settingObserved, Weimar Berlin]
-
A.
observedBy
Indicates that an entity is perceived, monitored, or recorded by another entity acting as the observer.
-
B.
observedFor
Indicates that one entity is monitored, watched, or examined over a period of time for the benefit or analysis of another entity.
-
C.
isObservedUsing
Indicates that an entity is observed or monitored by means of a specified instrument, method, or medium.
-
D.
observedChange
Indicates that a difference or alteration in a state, value, or condition has been detected between two points in time or between two compared entities.
-
E.
dstObserved
Indicates that an entity has been observed, detected, or recorded as the destination of another entity or action.
- 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_69f3497f35908190a2e9bbb9b96c7a3f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fcdf2394748190b35cead3e208447d |
completed | May 7, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe344ec8190a0471911952f4b82 |
completed | May 7, 2026, 6:37 p.m. |
| PDg | Predicate description generation | batch_69fcdf22ab8881908b257f16522920c5 |
completed | May 7, 2026, 6:51 p.m. |
Created at: May 1, 2026, 1:41 a.m.