Triple
T24031268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 7/7 bombings |
E595111
|
entity |
| Predicate | locationOfFourthBombing |
P18705
|
FINISHED |
| Object | double-decker bus in Tavistock Square |
—
|
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: double-decker bus in Tavistock Square | Statement: [7/7 bombings, locationOfFourthBombing, double-decker bus in Tavistock Square]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationOfFourthBombing Context triple: [7/7 bombings, locationOfFourthBombing, double-decker bus in Tavistock Square]
-
A.
bombingLocation
chosen
Indicates the place where a bombing event occurs or is carried out.
-
B.
wasBombedOn
Indicates that a location or target experienced a bombing event at a specific time or date.
-
C.
cityBombed
Indicates that a particular city was subjected to a bombing attack.
-
D.
countryBombed
Indicates that one country has carried out a bombing attack against another country.
-
E.
locationOfKamikazeAttack
Indicates the place where a kamikaze attack occurred or was carried out.
- 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.