Triple
T14307153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chegongzhuang station |
E354727
|
entity |
| Predicate | hasLine6Platforms |
P113701
|
FINISHED |
| Object | 1 island platform |
—
|
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: 1 island platform | Statement: [Chegongzhuang station, hasLine6Platforms, 1 island platform]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLine6Platforms Context triple: [Chegongzhuang station, hasLine6Platforms, 1 island platform]
-
A.
platformsForLine8
Indicates that something serves as a platform or set of platforms used by or associated with line 8 (e.g., a transit or rail line).
-
B.
line6Terminus
Indicates the station or location where transit line 6 ends its route or service.
-
C.
hasPlatformsConnectedBy
Indicates that two or more platforms are linked together by some connecting structure or mechanism.
-
D.
platformsForLine12
Indicates that the subject provides or contains the platforms associated with line 12.
-
E.
hasNumberOfPlatforms
Indicates the relationship that specifies how many platforms are associated with a given entity.
- 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_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. |
| PDg | Predicate description generation | batch_69de2e07d1f88190bdcd20967e484718 |
completed | April 14, 2026, 12:07 p.m. |
Created at: April 10, 2026, 1:12 a.m.