Triple
T2508250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giacomo Matteotti |
E52636
|
entity |
| Predicate | hasPartInMannerOfDeath |
P40889
|
FINISHED |
| Object | kidnapping |
—
|
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: kidnapping | Statement: [Giacomo Matteotti, hasPartInMannerOfDeath, kidnapping]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPartInMannerOfDeath Context triple: [Giacomo Matteotti, hasPartInMannerOfDeath, kidnapping]
-
A.
hasMannerOfDeathOfVictim
Indicates the specific way or circumstances in which the victim died in relation to the event or action being described.
-
B.
allegedMannerOfDeath
Indicates that the specified manner of death is claimed or reported for an entity, but not confirmed as factual.
-
C.
traditionalMannerOfDeath
Indicates that an entity died in a way that follows or reflects a culturally recognized or customary method of death.
-
D.
associatedWithDeathOf
Indicates a relationship where one entity is connected in some relevant way to the death of another entity, such as by involvement, causation, or contextual association.
-
E.
diedInCustodyOf
Indicates that an individual died while under the control, supervision, or physical custody of a specified authority or 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_69ab4958e76481908a235377dd921c9e |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd65d6a988190aaaac8e98540a14f |
completed | March 7, 2026, 7:40 a.m. |
| PD | Predicate disambiguation | batch_69abd0bd996c8190ba8b9d6e4333b8d4 |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd65c9d508190957285a078698ed2 |
completed | March 7, 2026, 7:40 a.m. |
Created at: March 6, 2026, 9:46 p.m.