Triple
T24031273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 7/7 bombings |
E595111
|
entity |
| Predicate | cityTransportOperatorAffected |
P154583
|
FINISHED |
| Object | Transport for London |
—
|
NE NERFINISHED |
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: Transport for London | Statement: [7/7 bombings, cityTransportOperatorAffected, Transport for London]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityTransportOperatorAffected Context triple: [7/7 bombings, cityTransportOperatorAffected, Transport for London]
-
A.
publicTransportOperatorFor
Indicates that one entity operates or manages public transportation services for another entity or area.
-
B.
transportOperator
Indicates that an entity is responsible for operating or managing the transportation of people or goods between locations.
-
C.
hasBusOperator
Indicates that a bus service, route, or vehicle is operated or managed by a specific operator or company.
-
D.
transportationImpact
Indicates how one entity’s transportation-related activities or characteristics affect another entity or the surrounding environment.
-
E.
tramOperator
Indicates that one entity operates, manages, or runs tram services for another entity or area.
- 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_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. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 9:55 p.m.