Triple
T23383053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uckfield railway station |
E593802
|
entity |
| Predicate | hasFormerPlatforms |
P71839
|
FINISHED |
| Object | former platforms now disused |
—
|
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: former platforms now disused | Statement: [Uckfield railway station, hasFormerPlatforms, former platforms now disused]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormerPlatforms Context triple: [Uckfield railway station, hasFormerPlatforms, former platforms now disused]
-
A.
hasDisusedPlatforms
chosen
Indicates that an entity (such as a station or facility) possesses one or more platforms that are no longer in active use.
-
B.
previouslySupportedHardware
Indicates that the subject hardware was supported in the past but is no longer currently supported.
-
C.
hasAtGradePlatforms
Indicates that the subject has platforms located at the same level as the surrounding ground or track (i.e., not elevated or underground).
-
D.
formerDistributionPlatform
Indicates that an entity previously served as a distribution platform for another entity but no longer holds that role.
-
E.
formerlyUsedBy
Indicates that an entity was used by another entity in the past but is no longer in use by that entity.
- 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_69e25d268a50819095f2fd479da8ef3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a3b9287481908fd86c41f6d9fc53 |
completed | April 29, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69f061dde2e481908308952f9c0d3c2e |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:34 p.m.