Triple
T7983943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Altrincham Interchange |
E185642
|
entity |
| Predicate | hasRailPlatforms |
P80173
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Altrincham Interchange, hasRailPlatforms, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRailPlatforms Context triple: [Altrincham Interchange, hasRailPlatforms, 2]
-
A.
hasNationalRailPlatforms
Indicates that an entity possesses one or more platforms used by the national rail network for train services.
-
B.
hasIntercityPlatforms
Indicates that a location or station includes platforms designated for intercity train services.
-
C.
hasBusPlatforms
Indicates that a location or facility is equipped with one or more designated platforms for boarding or alighting from buses.
-
D.
hasConventionalLinePlatform
Indicates that an entity provides or is associated with a platform specifically designated for conventional (non-high-speed or standard) railway lines.
-
E.
hasRailFacility
Indicates that an entity possesses or is served by a rail-related facility, such as a railway station, terminal, or yard.
- 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_69ca829a2cfc819083d591d58ec04075 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c2b543c81909b82bc478d579e0b |
completed | March 31, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69cb048009a08190b4c577208a9f8f76 |
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, 5:15 p.m.