Triple
T6023641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wuhan Metro Line 3 |
E134121
|
entity |
| Predicate | hasInterchangeWith |
P1018
|
FINISHED |
| Object | Wuhan Metro Line 6 |
E136089
|
NE 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: Wuhan Metro Line 6 | Statement: [Wuhan Metro Line 3, hasInterchangeWith, Wuhan Metro Line 6]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wuhan Metro Line 6 Context triple: [Wuhan Metro Line 3, hasInterchangeWith, Wuhan Metro Line 6]
-
A.
Wuhan Metro Line 6
chosen
Wuhan Metro Line 6 is a rapid transit line in Wuhan, China, forming part of the city's urban subway network and serving key districts across the metropolis.
-
B.
Wuhan Metro Line 7
Wuhan Metro Line 7 is a rapid transit line in Wuhan, China, forming part of the city’s urban subway network and connecting key districts across the Yangtze River.
-
C.
Wuhan Metro Line 5
Wuhan Metro Line 5 is a rapid transit line in Wuhan, China, forming part of the city's expanding urban subway network.
-
D.
Wuhan Metro Line 11
Wuhan Metro Line 11 is a rapid transit line in Wuhan, China, serving as part of the city's expanding urban rail network.
-
E.
Wuhan Metro Line 16
Wuhan Metro Line 16 is a suburban rapid transit line in Wuhan, China, connecting the urban core with outlying districts as part of the city’s expanding metro network.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c008742a5c8190b9cb9c2787a3d8b3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04fbd7978819085d683578bc62aa3 |
completed | March 22, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6537678fc8190aa0f2f198c1d8385 |
completed | March 27, 2026, 9:52 a.m. |
Created at: March 22, 2026, 4:07 p.m.