Triple
T7448451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wuhan Metro Line 39 |
E171942
|
entity |
| Predicate | futureIntegration |
P42365
|
FINISHED |
| Object | integrated into Wuhan Metro fare system (expected) |
—
|
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: integrated into Wuhan Metro fare system (expected) | Statement: [Wuhan Metro Line 39, futureIntegration, integrated into Wuhan Metro fare system (expected)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: futureIntegration Context triple: [Wuhan Metro Line 39, futureIntegration, integrated into Wuhan Metro fare system (expected)]
-
A.
laterFeature
Indicates that one feature, event, or element occurs or is introduced after another in time.
-
B.
futureEvolution
Indicates a predicted or potential future development or transformation of one entity into another.
-
C.
integrates
Indicates that one entity combines or brings together another entity or set of entities into a unified, functioning whole.
-
D.
futureComponentOf
chosen
Indicates that one entity is expected or planned to become a component or part of another entity at some point in the future.
-
E.
typeOfIntegration
Indicates the specific kind or category of integration that exists or is applied between systems, components, or processes.
- 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_69c68a65402881908f7869368eb746fb |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f389ddd48190a4b8753c67220c4f |
completed | March 27, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69c6f039f7248190bb4183f97b605763 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:14 p.m.