Triple
T31303538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1981 Brixton riot |
E798271
|
entity |
| Predicate | numberOfCiviliansInjured |
P202908
|
FINISHED |
| Object | dozens |
—
|
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: dozens | Statement: [1981 Brixton riot, numberOfCiviliansInjured, dozens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCiviliansInjured Context triple: [1981 Brixton riot, numberOfCiviliansInjured, dozens]
-
A.
numberOfVictimsInjured
Indicates the count of victims who sustained injuries as a result of the event or incident.
-
B.
casualtiesCiviliansKilled
Indicates that the relationship records the number of civilian deaths resulting from a specific event or action.
-
C.
nativeCasualties
Indicates that native or indigenous people suffered deaths or injuries as a result of a particular event, action, or conflict.
-
D.
primaryCasualtiesFrom
Indicates that an entity is the main source or cause of the casualties experienced by another entity.
-
E.
numberOfVictimsKilled
Indicates the count of victims who were killed as a result of the referenced event 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_69f224e0bd4c8190aab9b29a73f7aa3c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a00cda99c908190980e0bf54cb2e2a4 |
completed | May 10, 2026, 6:25 p.m. |
| PD | Predicate disambiguation | batch_6a00cd1635b08190a791ecfcf87a1d54 |
completed | May 10, 2026, 6:23 p.m. |
| PDg | Predicate description generation | batch_6a00cda8ed348190950ee34bb24ae65b |
completed | May 10, 2026, 6:25 p.m. |
Created at: April 29, 2026, 9:14 p.m.