Triple
T34438032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Big Stick-Up at Brinks |
E884018
|
entity |
| Predicate | countryOfSubjectEvent |
P42769
|
FINISHED |
| Object | United States |
—
|
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: United States | Statement: [The Big Stick-Up at Brinks, countryOfSubjectEvent, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfSubjectEvent Context triple: [The Big Stick-Up at Brinks, countryOfSubjectEvent, United States]
-
A.
countryWhereOccurred
chosen
Indicates the country in which a particular event, action, or occurrence took place.
-
B.
countryOfVenue
Indicates the country in which the referenced venue is geographically located.
-
C.
locationCountryOfCeremony
Indicates the country in which a particular ceremony takes place or is held.
-
D.
refersToEventCountry
Indicates that one entity references or is associated with the country in which a particular event takes place.
-
E.
countryOfFirstEvent
Indicates the country in which the first event in a sequence or series took place.
- 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_69f349c548d88190978e2a82502c03d0 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a01487b73488190954eb5143e6f246e |
completed | May 11, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_6a0145210ae481908da59b02efdbc397 |
completed | May 11, 2026, 2:55 a.m. |
Created at: May 1, 2026, 2 a.m.