Triple
T1120467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wuhan Metro |
E11197
|
entity |
| Predicate | hasLine |
P35
|
FINISHED |
| Object |
Wuhan Metro Line 42
Wuhan Metro Line 42 is a planned rapid transit line intended to expand and improve the urban rail network in Wuhan, China.
|
E177323
|
NE FINISHED |
How this triple was built (4 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 42 | Statement: [Wuhan Metro, hasLine, Wuhan Metro Line 42]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wuhan Metro Line 42 Context triple: [Wuhan Metro, hasLine, Wuhan Metro Line 42]
-
A.
Wuhan Metro Line 41
Wuhan Metro Line 41 is a planned rapid transit line intended to expand and improve urban rail connectivity within the city of Wuhan, China.
-
B.
Wuhan Metro Line 40
Wuhan Metro Line 40 is a planned rapid transit line intended to expand and improve the urban rail network in Wuhan, China.
-
C.
Wuhan Metro Line 27
Wuhan Metro Line 27 is a planned rapid transit line intended to expand and improve urban rail connectivity within the city of Wuhan, China.
-
D.
Wuhan Metro Line 21
Wuhan Metro Line 21 is a rapid transit line in Wuhan, China, serving as part of the city's expanding urban rail network.
-
E.
Wuhan Metro Line 34
Wuhan Metro Line 34 is a planned rapid transit line intended to expand and improve the urban rail network in Wuhan, China.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wuhan Metro Line 42 Triple: [Wuhan Metro, hasLine, Wuhan Metro Line 42]
Generated description
Wuhan Metro Line 42 is a planned rapid transit line intended to expand and improve the urban rail network in Wuhan, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wuhan Metro Line 42 Target entity description: Wuhan Metro Line 42 is a planned rapid transit line intended to expand and improve the urban rail network in Wuhan, China.
-
A.
Wuhan Metro Line 41
Wuhan Metro Line 41 is a planned rapid transit line intended to expand and improve urban rail connectivity within the city of Wuhan, China.
-
B.
Wuhan Metro Line 40
Wuhan Metro Line 40 is a planned rapid transit line intended to expand and improve the urban rail network in Wuhan, China.
-
C.
Wuhan Metro Line 27
Wuhan Metro Line 27 is a planned rapid transit line intended to expand and improve urban rail connectivity within the city of Wuhan, China.
-
D.
Wuhan Metro Line 21
Wuhan Metro Line 21 is a rapid transit line in Wuhan, China, serving as part of the city's expanding urban rail network.
-
E.
Wuhan Metro Line 34
Wuhan Metro Line 34 is a planned rapid transit line intended to expand and improve the urban rail network in Wuhan, China.
- F. None of above. chosen
Provenance (5 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_69a493252a648190ac48f8742474a5e8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bbbe58588190a5ef6346e269d5f3 |
completed | March 1, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad36f2940c81908bea3f0242d2d734 |
completed | March 8, 2026, 8:44 a.m. |
| NEDg | Description generation | batch_69ad38296b1481909a09e422ef5b7513 |
completed | March 8, 2026, 8:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad38af38c08190a98462574abe3063 |
completed | March 8, 2026, 8:51 a.m. |
Created at: March 1, 2026, 7:43 p.m.