Triple
T13170405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meiti Riverside Park |
E312960
|
entity |
| Predicate | hasNearbyTransport |
P1288
|
FINISHED |
| Object |
Dazhi metro station
Dazhi metro station is a Taipei Metro station on the Wenhu (Brown) Line serving the Dazhi riverside and residential area in Taipei, Taiwan.
|
E1026812
|
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: Dazhi metro station | Statement: [Meiti Riverside Park, hasNearbyTransport, Dazhi metro station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dazhi metro station Context triple: [Meiti Riverside Park, hasNearbyTransport, Dazhi metro station]
-
A.
Shoush Metro Station
Shoush Metro Station is a stop on Tehran’s Metro system serving passengers along Line 1 in the Shoush neighborhood.
-
B.
Xicun Station
Xicun Station is a metro station in Guangzhou, China, serving passengers on the Guangzhou Metro network.
-
C.
Houtan station
Houtan station is a Shanghai Metro station serving the Pudong area near the Huangpu River and major venues such as the Shanghai Oriental Sports Center.
-
D.
Xintiandi station
Xintiandi station is a major Shanghai Metro interchange located near the popular Xintiandi entertainment and shopping district.
-
E.
Huamu Road station
Huamu Road station is a Shanghai Metro station serving as the eastern terminus of Line 7 in the Pudong New Area.
- 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: Dazhi metro station Triple: [Meiti Riverside Park, hasNearbyTransport, Dazhi metro station]
Generated description
Dazhi metro station is a Taipei Metro station on the Wenhu (Brown) Line serving the Dazhi riverside and residential area in Taipei, Taiwan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dazhi metro station Target entity description: Dazhi metro station is a Taipei Metro station on the Wenhu (Brown) Line serving the Dazhi riverside and residential area in Taipei, Taiwan.
-
A.
Shoush Metro Station
Shoush Metro Station is a stop on Tehran’s Metro system serving passengers along Line 1 in the Shoush neighborhood.
-
B.
Xicun Station
Xicun Station is a metro station in Guangzhou, China, serving passengers on the Guangzhou Metro network.
-
C.
Houtan station
Houtan station is a Shanghai Metro station serving the Pudong area near the Huangpu River and major venues such as the Shanghai Oriental Sports Center.
-
D.
Xintiandi station
Xintiandi station is a major Shanghai Metro interchange located near the popular Xintiandi entertainment and shopping district.
-
E.
Huamu Road station
Huamu Road station is a Shanghai Metro station serving as the eastern terminus of Line 7 in the Pudong New Area.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c2e03c481909909b8f10c7e8ffc |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5e22458819097dc8d6708df5284 |
completed | May 3, 2026, 7:14 a.m. |
| NEDg | Description generation | batch_69f6f84b24588190a2668205eb25fe51 |
completed | May 3, 2026, 7:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f90f02148190a4599282c0249456 |
completed | May 3, 2026, 7:28 a.m. |
Created at: April 9, 2026, 9:13 p.m.