Triple
T8000086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haddenham and Thame Parkway railway station |
E186223
|
entity |
| Predicate | isParkwayStation |
P80254
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Haddenham and Thame Parkway railway station, isParkwayStation, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isParkwayStation Context triple: [Haddenham and Thame Parkway railway station, isParkwayStation, yes]
-
A.
isStationHouseOf
Indicates that a particular station building or facility serves as the designated station house for a given station or transit stop.
-
B.
isMajorStationOn
Indicates that a station serves as a primary or significant stop on a particular route or line.
-
C.
hasParkStyle
Indicates that an entity possesses or is characterized by a particular style or type of park.
-
D.
hasParkAccess
Indicates that an entity is permitted to enter, use, or otherwise access a specified park or park area.
-
E.
isPublicTransportStation
Indicates that a location functions as a station or stop used by public transportation services such as buses, trains, trams, or subways.
- 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_69ca82aaaf24819084b94d18f699ba53 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c9b67988190a8a4a2c960017400 |
completed | March 31, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69cb0483d3b48190b250c7603d747bca |
completed | March 30, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69cb14bbbacc81909c6cf8ec35314bbb |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:17 p.m.