Triple
T8373550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rayners Lane |
E197516
|
entity |
| Predicate | hasStationDistrict |
P82368
|
FINISHED |
| Object | Rayners Lane tube station district |
—
|
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: Rayners Lane tube station district | Statement: [Rayners Lane, hasStationDistrict, Rayners Lane tube station district]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStationDistrict Context triple: [Rayners Lane, hasStationDistrict, Rayners Lane tube station district]
-
A.
hasStationInCity
Indicates that a station or facility is located within a particular city.
-
B.
hasStationInCounty
Indicates that a station is located within, or falls under the jurisdiction of, a specific county.
-
C.
hasStationNear
Indicates that one entity has a station located in close proximity to another entity.
-
D.
hasStationCode
Indicates that an entity is associated with a specific station identification code.
-
E.
isSuburbanStationOf
Indicates that a station is located in a suburban area and functionally serves as a subsidiary or outlying station of a main or central 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_69ca82f56730819080cec5d991c76f4c |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80a7cab881909d8cca66a340dceb |
completed | March 31, 2026, 8:07 a.m. |
| PD | Predicate disambiguation | batch_69cb70cd04b08190ab5f72afd22a7967 |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb76d823b08190a54fadb50660cda5 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 6:01 p.m.