Triple
T15652367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hammersmith tube station (Piccadilly and District lines) |
E376343
|
entity |
| Predicate | openedAsDistrictLineStation |
P119611
|
FINISHED |
| Object | 1874 |
—
|
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: 1874 | Statement: [Hammersmith tube station (Piccadilly and District lines), openedAsDistrictLineStation, 1874]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedAsDistrictLineStation Context triple: [Hammersmith tube station (Piccadilly and District lines), openedAsDistrictLineStation, 1874]
-
A.
openedAsRedLineStation
Indicates that a station began operation specifically as part of the Red Line when it first opened.
-
B.
openedOnDistrictAndCircleLines
Indicates that something (such as a station or section) was opened specifically on both the District and Circle railway lines.
-
C.
openedAsTransitStation
Indicates that an entity began operation specifically as a transit station at the time it was opened.
-
D.
openedAsMetrolinkLine
Indicates that a railway line or route was inaugurated or began operation specifically as part of the Metrolink network.
-
E.
openedAsRailStop
Indicates that an entity began operation or was first established specifically as a railway stop.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eeed2d48190a7a8a618d90012d0 |
completed | April 16, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69deda890140819082608931e993dd61 |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f3016c8190ac68d76e65e07af4 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:15 a.m.