Triple
T24031267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 7/7 bombings |
E595111
|
entity |
| Predicate | locationOfFirstThreeBombings |
P18705
|
FINISHED |
| Object | London Underground trains |
—
|
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: London Underground trains | Statement: [7/7 bombings, locationOfFirstThreeBombings, London Underground trains]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationOfFirstThreeBombings Context triple: [7/7 bombings, locationOfFirstThreeBombings, London Underground trains]
-
A.
bombingLocation
chosen
Indicates the place where a bombing event occurs or is carried out.
-
B.
numberOfPeopleInjuredInBombings
Indicates the count of individuals who were injured as a result of bombing incidents.
-
C.
locationOfFirstPerformanceDuringAssassination
Indicates the place where a work or performance was first presented at the time an assassination occurred.
-
D.
locationOfAttacksCondemned
Indicates that a specific location is the site of attacks that have been explicitly denounced or condemned.
-
E.
bombingName
Indicates that an entity is the name or designated title of a specific bombing event or bombing attack.
- 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_69e288bf45f08190a1b6ed8cd0b9e86b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d7709e5881908f5d4c0dd9f818c9 |
completed | April 29, 2026, 10:03 a.m. |
| PD | Predicate disambiguation | batch_69f1764345388190a3102b62ddb729b4 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:55 p.m.