Triple
T24583155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2013 Westgate shopping mall attack |
E608306
|
entity |
| Predicate | fatalitiesIncludingPerpetrators |
P154582
|
FINISHED |
| Object | 71 |
—
|
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: 71 | Statement: [2013 Westgate shopping mall attack, fatalitiesIncludingPerpetrators, 71]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fatalitiesIncludingPerpetrators Context triple: [2013 Westgate shopping mall attack, fatalitiesIncludingPerpetrators, 71]
-
A.
totalDeathsIncludingPerpetrators
chosen
Indicates the total number of deaths resulting from an event, counting both victims and the perpetrators.
-
B.
numberOfNonPerpetratorDeaths
Indicates the number of people who died in an incident who were not responsible for committing the harmful act.
-
C.
causedFatalities
Indicates that the referenced event or action directly resulted in one or more deaths.
-
D.
numberOfVictimsKilled
Indicates the count of victims who were killed as a result of the referenced event or action.
-
E.
numberOfPerpetratorsKilled
Indicates the count of perpetrators who were killed in the context of the described event or incident.
- 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_69e2c4ce89248190ad99e18f0638dfbb |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a984577881908c855f5e05756909 |
completed | April 30, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f2a6c1f07081908edf0b521767e79b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:29 a.m.