Triple
T17262561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kunming Metro |
E419041
|
entity |
| Predicate | hasLinePlanned |
P86666
|
FINISHED |
| Object |
Kunming Metro Line 36
Kunming Metro Line 36 is a planned rapid transit line intended to expand and improve the urban rail network in Kunming, China.
|
E1308770
|
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: Kunming Metro Line 36 | Statement: [Kunming Metro, hasLinePlanned, Kunming Metro Line 36]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kunming Metro Line 36 Context triple: [Kunming Metro, hasLinePlanned, Kunming Metro Line 36]
-
A.
Kunming Metro Line 30
Kunming Metro Line 30 is a planned rapid transit line intended to expand the urban rail network in Kunming, China.
-
B.
Kunming Metro Line 33
Kunming Metro Line 33 is a planned rapid transit line intended to expand and improve the urban rail network in Kunming, China.
-
C.
Kunming Metro Line 31
Kunming Metro Line 31 is a planned rapid transit line intended to expand and improve the urban rail network in Kunming, China.
-
D.
Kunming Metro Line 26
Kunming Metro Line 26 is a planned rapid transit line intended to expand and improve the urban rail network in Kunming, China.
-
E.
Kunming Metro Line 29
Kunming Metro Line 29 is a planned rapid transit line intended to expand and improve the urban rail network in Kunming, 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: Kunming Metro Line 36 Triple: [Kunming Metro, hasLinePlanned, Kunming Metro Line 36]
Generated description
Kunming Metro Line 36 is a planned rapid transit line intended to expand and improve the urban rail network in Kunming, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kunming Metro Line 36 Target entity description: Kunming Metro Line 36 is a planned rapid transit line intended to expand and improve the urban rail network in Kunming, China.
-
A.
Kunming Metro Line 30
Kunming Metro Line 30 is a planned rapid transit line intended to expand the urban rail network in Kunming, China.
-
B.
Kunming Metro Line 33
Kunming Metro Line 33 is a planned rapid transit line intended to expand and improve the urban rail network in Kunming, China.
-
C.
Kunming Metro Line 31
Kunming Metro Line 31 is a planned rapid transit line intended to expand and improve the urban rail network in Kunming, China.
-
D.
Kunming Metro Line 26
Kunming Metro Line 26 is a planned rapid transit line intended to expand and improve the urban rail network in Kunming, China.
-
E.
Kunming Metro Line 29
Kunming Metro Line 29 is a planned rapid transit line intended to expand and improve the urban rail network in Kunming, 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e717a348190ae6835fb08f38125 |
completed | April 19, 2026, 1:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03852d4f988190aa778537ab9e3b9e |
completed | May 12, 2026, 7:53 p.m. |
| NEDg | Description generation | batch_6a038a9d02d48190b337f6f611fc6840 |
completed | May 12, 2026, 8:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a038b2720548190baaafbc022f36163 |
completed | May 12, 2026, 8:18 p.m. |
Created at: April 10, 2026, 5:40 a.m.