Triple
T4542007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shenzhen Metro |
E107554
|
entity |
| Predicate | hasLine |
P35
|
FINISHED |
| Object |
Line 23
Line 23 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
|
E455223
|
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: Line 23 | Statement: [Shenzhen Metro, hasLine, Line 23]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Line 23 Context triple: [Shenzhen Metro, hasLine, Line 23]
-
A.
Line 21
Line 21 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
-
B.
Line 21
Line 21 is a rapid transit line of the Guangzhou Metro system in Guangzhou, China, serving suburban and outlying districts with high-speed urban rail service.
-
C.
Line 20
Line 20 is a driverless rapid transit line of the Shenzhen Metro system in Shenzhen, China.
-
D.
Line 22
Line 22 is a rapid transit line of the Shenzhen Metro system in Shenzhen, China.
-
E.
Line 19
Line 19 is a north–south rapid transit line of the Beijing Subway designed to improve connectivity between the city's central districts and its outer areas.
- 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: Line 23 Triple: [Shenzhen Metro, hasLine, Line 23]
Generated description
Line 23 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Line 23 Target entity description: Line 23 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
-
A.
Line 21
Line 21 is a planned rapid transit line of the Shenzhen Metro system in Shenzhen, China.
-
B.
Line 21
Line 21 is a rapid transit line of the Guangzhou Metro system in Guangzhou, China, serving suburban and outlying districts with high-speed urban rail service.
-
C.
Line 20
Line 20 is a driverless rapid transit line of the Shenzhen Metro system in Shenzhen, China.
-
D.
Line 22
Line 22 is a rapid transit line of the Shenzhen Metro system in Shenzhen, China.
-
E.
Line 19
Line 19 is a north–south rapid transit line of the Beijing Subway designed to improve connectivity between the city's central districts and its outer areas.
- 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_69bd43f922788190b7edfa294e39b178 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57d219d88190a67ada845323d7fb |
completed | March 20, 2026, 2:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bde06ca7f8819089305179ce52352d |
completed | March 21, 2026, 12:03 a.m. |
| NEDg | Description generation | batch_69bde26ff3ac8190abada7fe7e03a5e2 |
completed | March 21, 2026, 12:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bde3191b448190ad2affaa30bb1515 |
completed | March 21, 2026, 12:15 a.m. |
Created at: March 20, 2026, 1:04 p.m.