Triple
T13963074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Datunlu East station |
E335846
|
entity |
| Predicate | hasExit |
P6140
|
FINISHED |
| Object |
Exit C
Exit C is one of the designated passenger exits at Datunlu East station in the Beijing Subway system.
|
E1072526
|
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: Exit C | Statement: [Datunlu East station, hasExit, Exit C]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Exit C Context triple: [Datunlu East station, hasExit, Exit C]
-
A.
Exit C
Exit C is one of the designated passenger exits at Fuxingmen Station in the Beijing Subway system.
-
B.
Exit
"Exit" is a song by U2 from their acclaimed 1987 album *The Joshua Tree*, noted for its dark themes and intense, atmospheric sound.
-
C.
Exit B
Exit B is one of the designated passenger exits at Beijing’s Fuxingmen subway station, providing access between the station concourse and the surrounding street area.
-
D.
Terminal C
Terminal C is one of the passenger terminals at Düsseldorf Airport in Germany, serving various airlines and flights with check-in, security, and boarding facilities.
-
E.
Terminal C
Terminal C is a modern passenger terminal at Orlando International Airport designed to handle increased domestic and international air traffic with updated amenities and infrastructure.
- 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: Exit C Triple: [Datunlu East station, hasExit, Exit C]
Generated description
Exit C is one of the designated passenger exits at Datunlu East station in the Beijing Subway system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Exit C Target entity description: Exit C is one of the designated passenger exits at Datunlu East station in the Beijing Subway system.
-
A.
Exit C
Exit C is one of the designated passenger exits at Fuxingmen Station in the Beijing Subway system.
-
B.
Exit
"Exit" is a song by U2 from their acclaimed 1987 album *The Joshua Tree*, noted for its dark themes and intense, atmospheric sound.
-
C.
Exit B
Exit B is one of the designated passenger exits at Beijing’s Fuxingmen subway station, providing access between the station concourse and the surrounding street area.
-
D.
Terminal C
Terminal C is one of the passenger terminals at Düsseldorf Airport in Germany, serving various airlines and flights with check-in, security, and boarding facilities.
-
E.
Terminal C
Terminal C is one of the main passenger terminals at Luis Muñoz Marín International Airport in Puerto Rico, serving commercial airline operations and traveler services.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e7c73d48190b8e02971b5a8ed5f |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1d890d48190affd194b2439c271 |
completed | May 6, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_69fba7149cf08190942cc9b1f7f208f0 |
completed | May 6, 2026, 8:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fba8fe11c881908662d8e8e1720ea4 |
completed | May 6, 2026, 8:47 p.m. |
Created at: April 9, 2026, 10:18 p.m.