Triple
T676250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirkcaldy railway station |
E13082
|
entity |
| Predicate | isKeyStopFor |
P3386
|
FINISHED |
| Object | east coast of Scotland rail services |
—
|
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: east coast of Scotland rail services | Statement: [Kirkcaldy railway station, isKeyStopFor, east coast of Scotland rail services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isKeyStopFor Context triple: [Kirkcaldy railway station, isKeyStopFor, east coast of Scotland rail services]
-
A.
isKeyStopOn
chosen
Indicates that a particular stop functions as a primary or significant stop along a specified route or service.
-
B.
isKeyRegionFor
Indicates that one region plays a central or strategically important role in relation to a specified process, function, or larger area.
-
C.
hasStopArea
Indicates that an entity is associated with or contains a specific stop area, such as a designated location where vehicles stop.
-
D.
keyState
Indicates the current status or condition of a key (such as pressed, released, locked, or unlocked) in relation to an associated object or system.
-
E.
hasKeyboard
Indicates that one entity possesses or is equipped with a keyboard as a component or accessory.
- F. None of above.
Provenance (3 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_69a4933d3bf88190972041cd8cf143b9 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a04b2ae881908a5c23453bef8572 |
completed | March 1, 2026, 8:23 p.m. |
| PD | Predicate disambiguation | batch_69a49d1bbd0c81909cfbec30bd17bde7 |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.