Triple
T3263792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dongzhimen station |
E68474
|
entity |
| Predicate | platformType_Line13 |
P46956
|
FINISHED |
| Object | 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: island platform | Statement: [Dongzhimen station, platformType_Line13, island platform]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: platformType_Line13 Context triple: [Dongzhimen station, platformType_Line13, island platform]
-
A.
platformModel
Indicates that one entity serves as the underlying platform or foundational model upon which the other entity is built, operates, or depends.
-
B.
platformName
Indicates the name or identifier of the platform associated with the entity or action.
-
C.
platformUsed
Indicates that an action, event, or interaction was carried out using a particular platform (e.g., software, service, or system) as the medium or tool.
-
D.
platformFamily
Indicates that one platform belongs to, or is categorized under, a broader family or group of related platforms.
-
E.
thirdGenerationPlatform
Indicates that the subject is a third-generation instance or version within a sequence of related platforms.
- 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_69ad8590444081909e8107a8aeef3a23 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adafaa35e48190b894ca41dd65932b |
completed | March 8, 2026, 5:19 p.m. |
| PD | Predicate disambiguation | batch_69ada41d7eac8190ada4bf5f793d5c49 |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada525bb2c8190b773efe6d696b6ab |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:09 p.m.