Triple
T25527986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 7 Subway Extension |
E639825
|
entity |
| Predicate | platformTypeAtNewStation |
P145067
|
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: [7 Subway Extension, platformTypeAtNewStation, island platform]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: platformTypeAtNewStation Context triple: [7 Subway Extension, platformTypeAtNewStation, island platform]
-
A.
プラットホーム種別
chosen
Indicates the type or category of platform associated with an entity.
-
B.
stationType
Indicates the specific category or classification of a station based on its function, services, or operational characteristics.
-
C.
passengerTerminalType
Indicates the specific kind or category of passenger terminal associated with an entity.
-
D.
platformType_Line2
Indicates the secondary or additional type classification associated with a given platform.
-
E.
platformType_Line13
Indicates that an entity is associated with a specific type or category of platform, identified as Line13.
- 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_69e75dbf3f9c8190b3f2a75d1b75d127 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5ffc74fa481909b4fe24a9337f9eb |
completed | May 2, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69f5f7f99dc08190afcfb3bc4dfbec1d |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 21, 2026, 3:12 p.m.