Triple
T672760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2013 Boston Marathon bombing |
E13008
|
entity |
| Predicate | typeOfWeapon |
P6948
|
FINISHED |
| Object | homemade pressure cooker bombs |
—
|
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: homemade pressure cooker bombs | Statement: [2013 Boston Marathon bombing, typeOfWeapon, homemade pressure cooker bombs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfWeapon Context triple: [2013 Boston Marathon bombing, typeOfWeapon, homemade pressure cooker bombs]
-
A.
typicalWeapon
Indicates that the object is a weapon commonly or characteristically used by the subject.
-
B.
weapon
chosen
Indicates that one entity is used as a weapon by, or serves as the weapon of, another entity.
-
C.
weaponCategory
Indicates the classification or type of weapon to which an item or armament belongs.
-
D.
usedWeapon
Indicates that an entity employed a specific weapon as the means or tool to carry out an action or event.
-
E.
hasWeaponType
Indicates that an entity is associated with or equipped with a specific type or category of weapon.
- 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_69a4933d3bf88190972041cd8cf143b9 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a1b3682c8190a9b9a454480c3446 |
completed | March 1, 2026, 8:29 p.m. |
| PD | Predicate disambiguation | batch_69a49d1a16c48190af89e3b078a4957e |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.