Triple
T14307152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chegongzhuang station |
E354727
|
entity |
| Predicate | hasLine2Platforms |
P98257
|
FINISHED |
| Object | 2 side platforms |
—
|
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 side platforms | Statement: [Chegongzhuang station, hasLine2Platforms, 2 side platforms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLine2Platforms Context triple: [Chegongzhuang station, hasLine2Platforms, 2 side platforms]
-
A.
hasConventionalLinePlatform
Indicates that an entity provides or is associated with a platform specifically designated for conventional (non-high-speed or standard) railway lines.
-
B.
platformType_Line2
Indicates the secondary or additional type classification associated with a given platform.
-
C.
hasSidePlatformCount
chosen
Indicates the number of side platforms associated with an entity, such as a station or stop.
-
D.
hasRailPlatforms
Indicates that an entity is equipped with one or more rail platforms used for boarding or alighting from trains.
-
E.
hasSubwayPlatforms
Indicates that an entity is equipped with one or more platforms specifically serving a subway or metro rail system.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85b156b0819083f2bd319deed1b6 |
completed | April 14, 2026, 6:21 p.m. |
| PD | Predicate disambiguation | batch_69de2a8f81f08190af737e1654847aa6 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:12 a.m.