Triple
T24090443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hasib Hussain |
E596771
|
entity |
| Predicate | modeOfTransportAttacked |
P21178
|
FINISHED |
| Object | bus |
—
|
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: bus | Statement: [Hasib Hussain, modeOfTransportAttacked, bus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modeOfTransportAttacked Context triple: [Hasib Hussain, modeOfTransportAttacked, bus]
-
A.
transportAttacked
chosen
Indicates that a transport vehicle or conveyance was subjected to an attack or hostile action.
-
B.
attackedByVessel
Indicates that an entity is the target of an attack carried out by a vessel (such as a ship or boat).
-
C.
stationAttacked
Indicates that an attack has been carried out against a station, targeting it with hostile or destructive actions.
-
D.
attackedIn
Indicates that one entity carried out an attack in the location, context, or time frame specified by another entity or value.
-
E.
hasModeOfTransportInAccident
Indicates that a specific mode of transport was involved in an accident associated with the given entity.
- 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_69e288c4638c81909bacc28a1e3d436b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1dc2d405881909469aa95901ab87b |
completed | April 29, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f17651458c8190bbfd301883e46085 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 10:51 p.m.