Triple
T33148782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dong’an Road |
E848379
|
entity |
| Predicate | becameInterchangeStation |
P15892
|
FINISHED |
| Object | 2009-12-05 |
—
|
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: 2009-12-05 | Statement: [Dong’an Road, becameInterchangeStation, 2009-12-05]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: becameInterchangeStation Context triple: [Dong’an Road, becameInterchangeStation, 2009-12-05]
-
A.
hasInterchangeStationWith
Indicates that two transportation lines, routes, or systems share a station where passengers can transfer between them.
-
B.
interchangeStation
chosen
Indicates a station where passengers can transfer between different routes, lines, or modes of transportation.
-
C.
replacedStation
Indicates that one station has taken the place of another station, typically succeeding it in function, service, or location.
-
D.
servesAsThroughStationFor
Indicates that a station functions as an intermediate (through) stop for a particular service, route, or journey rather than as its starting or ending point.
-
E.
junctionStation
Indicates that a station functions as a junction where multiple routes or lines intersect or connect.
- 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_69f3495a458c8190a1d34b237ba0be3f |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6e02ba6b881908dfafc52d3b75f1c |
completed | May 3, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69f6de09c2f481909f8b2545d3208c9f |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:28 a.m.