Triple
T30268324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What Terrorists Want |
E769713
|
entity |
| Predicate | includesCaseStudiesOf |
P2398
|
FINISHED |
| Object | Irish Republican Army |
—
|
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: Irish Republican Army | Statement: [What Terrorists Want, includesCaseStudiesOf, Irish Republican Army]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesCaseStudiesOf Context triple: [What Terrorists Want, includesCaseStudiesOf, Irish Republican Army]
-
A.
usesCaseStudiesFrom
Indicates that one entity employs or incorporates case studies originating from another entity as part of its work or content.
-
B.
hasCaseStudy
chosen
Indicates that one entity is documented, illustrated, or analyzed by a specific case study associated with it.
-
C.
studiesFeature
Indicates that an entity conducts research or examination on a particular feature or characteristic of something.
-
D.
caseStudyNumber
Indicates the identifying number assigned to a specific case study within a collection or series.
-
E.
scienceCaseIncludes
Indicates that a science case encompasses, contains, or makes use of a particular element, component, or resource as part of its scope or definition.
- 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_69f224856d9881908c7f0dd64f059672 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a006417d1f4819093b2da02dbf2ab22 |
completed | May 10, 2026, 10:55 a.m. |
| PD | Predicate disambiguation | batch_6a00634a7a748190ac4774493fce3d30 |
completed | May 10, 2026, 10:51 a.m. |
Created at: April 29, 2026, 7:43 p.m.