Triple
T24219784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HBY |
E601414
|
entity |
| Predicate | associatedWithOperatorOfStationIdentified |
P155237
|
FINISHED |
| Object | London Underground Limited |
—
|
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: London Underground Limited | Statement: [HBY, associatedWithOperatorOfStationIdentified, London Underground Limited]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithOperatorOfStationIdentified Context triple: [HBY, associatedWithOperatorOfStationIdentified, London Underground Limited]
-
A.
associatedWithStationName
Indicates a relationship where something is linked or connected to a particular station identified by its name.
-
B.
associatedWithStationRole
Indicates that an entity has a connection or involvement with a specific role or function at a station.
-
C.
associatedStationQualifier
Indicates that a station is linked to another station with a specific qualifying role or context (such as type, function, or relationship).
-
D.
associatedStation
Indicates a relationship where one entity is linked or connected to a particular station as its relevant or related station.
-
E.
operatedStation
Indicates that one entity managed, ran, or was responsible for the operation of a particular station.
- 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_69e29537ca548190b94a37ebe1977caf |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f2820cdd3c8190998d6d901224c09f |
completed | April 29, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69f1c448abec8190b87cbf9ed419a309 |
completed | April 29, 2026, 8:41 a.m. |
| PDg | Predicate description generation | batch_69f1c6d4e99081909f61899eccafb73e |
completed | April 29, 2026, 8:52 a.m. |
Created at: April 17, 2026, 11:59 p.m.