Triple
T35890720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jinan Metro Line 3 |
E1037773
|
entity |
| Predicate | isPartOfUrbanRailTransit |
P8428
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Jinan Metro Line 3, isPartOfUrbanRailTransit, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfUrbanRailTransit Context triple: [Jinan Metro Line 3, isPartOfUrbanRailTransit, yes]
-
A.
isSuburbanRailway
Indicates that a railway line, service, or system operates primarily within and around a metropolitan area, typically connecting the city center with its suburbs.
-
B.
partOfTransitSystem
chosen
Indicates that something is a component or segment within a larger transit or transportation system.
-
C.
isOnSuburbanLine
Indicates that something (typically a transit service or stop) operates on or belongs to a suburban railway or transit line.
-
D.
isOnAutomatedMetroLine
Indicates that something (typically a metro station, segment, or service) belongs to or operates on a metro line that runs with automated (driverless or semi-driverless) train control.
-
E.
isSuburbanRailStation
Indicates that a location functions as a railway station serving suburban or commuter rail services, typically connecting outlying areas with an urban center.
- 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_69f76e1f4d748190bb55594d8441d70e |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ffb97b8ff8819088b105d99a0820c9 |
completed | May 9, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69ffb88ef7388190a710120ed76edc0e |
completed | May 9, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:06 p.m.