Triple
T35412191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riverfront Coliseum |
E1023540
|
entity |
| Predicate | consequenceOf1979Incident |
P187605
|
FINISHED |
| Object | changes in crowd control policies |
—
|
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: changes in crowd control policies | Statement: [Riverfront Coliseum, consequenceOf1979Incident, changes in crowd control policies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: consequenceOf1979Incident Context triple: [Riverfront Coliseum, consequenceOf1979Incident, changes in crowd control policies]
-
A.
significantEventConsequence
Indicates that one event leads to an important or impactful consequence for another event, state, or entity.
-
B.
consequenceOfAssassinationAttempt
Indicates a state, event, or condition that occurs as a direct result of an assassination attempt.
-
C.
unexpectedConsequenceOf
Indicates that one event, action, or condition occurs as an unforeseen or unintended result of another.
-
D.
K-219IncidentOutcome
Indicates the resulting consequences, resolutions, or status changes that occurred as a direct outcome of the K-219 incident.
-
E.
consequenceInText
Indicates that one event, action, or state is presented in the text as a consequence or result of another.
- 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_69f76df54bac8190bd0d3b0eb35cda5f |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
| PDg | Predicate description generation | batch_69fb6fdab95c81909acff3c6a2359787 |
completed | May 6, 2026, 4:44 p.m. |
Created at: May 3, 2026, 4:03 p.m.