Triple
T24583170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2013 Westgate shopping mall attack |
E608306
|
entity |
| Predicate | globalReaction |
P156443
|
FINISHED |
| Object | widespread international condemnation |
—
|
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: widespread international condemnation | Statement: [2013 Westgate shopping mall attack, globalReaction, widespread international condemnation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: globalReaction Context triple: [2013 Westgate shopping mall attack, globalReaction, widespread international condemnation]
-
A.
relatedReaction
Indicates that one reaction is connected or associated with another reaction in some relevant way.
-
B.
featuresReaction
Indicates that one entity exhibits, displays, or includes a particular reaction associated with another entity or context.
-
C.
netReaction
Indicates the overall chemical transformation resulting from combining all individual reaction steps, showing only the net change between reactants and products.
-
D.
usedReaction
Indicates that an entity employed or applied a particular reaction (e.g., chemical, biological, or procedural) as part of an action or process.
-
E.
causedReaction
Indicates that one entity’s action or state brought about a specific reaction or response in another entity.
- 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_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. |
| PDg | Predicate description generation | batch_69f2a846c5bc81909ba50cee483bea91 |
completed | April 30, 2026, 12:54 a.m. |
Created at: April 18, 2026, 2:29 a.m.