Triple
T6506144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musselburgh railway station |
E150012
|
entity |
| Predicate | hasApproximateLocationType |
P22067
|
FINISHED |
| Object | suburban area |
—
|
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: suburban area | Statement: [Musselburgh railway station, hasApproximateLocationType, suburban area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateLocationType Context triple: [Musselburgh railway station, hasApproximateLocationType, suburban area]
-
A.
hasApproximateLocation
chosen
Indicates that an entity is associated with a location that is known only imprecisely or within a general area rather than an exact position.
-
B.
hasApproximateCoordinates
Indicates that an entity is associated with location coordinates that are estimated or imprecise rather than exact.
-
C.
hasLocationComponent
Indicates that something includes, is associated with, or is composed of a specific location-related part or element.
-
D.
hasApproximateDistanceScale
Indicates that one entity is related to another by a distance measure that is approximate or estimated rather than exact.
-
E.
hasApproximateTransport
Indicates that one entity is connected to another by a transport option whose route, timing, or characteristics are similar to, but not exactly the same as, a referenced or ideal transport connection.
- 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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c69f386aa08190bfc8592a92ec6339 |
completed | March 27, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69c68ab714908190aa7c2fbf64078e15 |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:43 p.m.