Triple
T19187392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golborne South railway station |
E469739
|
entity |
| Predicate | hadSignalBox |
P39821
|
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: [Golborne South railway station, hadSignalBox, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadSignalBox Context triple: [Golborne South railway station, hadSignalBox, yes]
-
A.
hasSignalBox
chosen
Indicates that one entity is equipped with, contains, or is associated with a railway signal box used to control train movements.
-
B.
hasSignalBoxHistorically
Indicates that an entity historically possessed or was associated with a signal box, even if it no longer exists or is in use.
-
C.
hasPressBox
Indicates that a venue or facility includes a designated press box area for media or press personnel.
-
D.
hasBoxes
Indicates that an entity possesses, contains, or is associated with one or more boxes.
-
E.
signaled
Indicates that one entity communicated a message, warning, or instruction to another through a deliberate signal or cue.
- 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f89f3ebc8190ba01ae075ffc77df |
completed | April 20, 2026, 9:57 a.m. |
| PD | Predicate disambiguation | batch_69e4b9bb158481909478ca2e06f3ba39 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:07 p.m.