Triple
T16731224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xierqi |
E406595
|
entity |
| Predicate | hasTransport |
P1298
|
FINISHED |
| Object |
Xierqi Station
Xierqi Station is a major interchange station on the Beijing Subway, serving as a key hub for commuters in the city’s northern high-tech and residential areas.
|
E1344324
|
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: Xierqi Station | Statement: [Xierqi, hasTransport, Xierqi Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xierqi Station Context triple: [Xierqi, hasTransport, Xierqi Station]
-
A.
Qiyan station
Qiyan station is a metro station on the Taipei Metro system in Taipei, Taiwan.
-
B.
Qizhang station
Qizhang station is a metro station in New Taipei, Taiwan, serving passengers on Taipei Metro’s Tamsui–Xinyi line.
-
C.
Qibao Station
Qibao Station is a Shanghai Metro station serving the historic Qibao area in Minhang District, known for providing convenient transit access to this popular suburban neighborhood.
-
D.
Tiyu Xilu Station
Tiyu Xilu Station is a major interchange and one of the busiest metro stations in Guangzhou, China, serving as a key hub in the Guangzhou Metro network.
-
E.
Liyuan Station
Liyuan Station is a stop on Beijing's Batong Line serving the eastern suburbs of the city.
- 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: Xierqi Station Triple: [Xierqi, hasTransport, Xierqi Station]
Generated description
Xierqi Station is a major interchange station on the Beijing Subway, serving as a key hub for commuters in the city’s northern high-tech and residential areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xierqi Station Target entity description: Xierqi Station is a major interchange station on the Beijing Subway, serving as a key hub for commuters in the city’s northern high-tech and residential areas.
-
A.
Qiyan station
Qiyan station is a metro station on the Taipei Metro system in Taipei, Taiwan.
-
B.
Qizhang station
Qizhang station is a metro station in New Taipei, Taiwan, serving passengers on Taipei Metro’s Tamsui–Xinyi line.
-
C.
Qibao Station
Qibao Station is a Shanghai Metro station serving the historic Qibao area in Minhang District, known for providing convenient transit access to this popular suburban neighborhood.
-
D.
Tiyu Xilu Station
Tiyu Xilu Station is a major interchange and one of the busiest metro stations in Guangzhou, China, serving as a key hub in the Guangzhou Metro network.
-
E.
Liyuan Station
Liyuan Station is a stop on Beijing's Batong Line serving the eastern suburbs of the city.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3874bd7648190a6a7d173d4b497a7 |
completed | April 18, 2026, 1:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a055ba649d08190bb093403ebe90d38 |
completed | May 14, 2026, 5:20 a.m. |
| NEDg | Description generation | batch_6a055e5bd32881908503c0a6131196b2 |
completed | May 14, 2026, 5:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a055f0b0c8881908c2448b0c516653e |
completed | May 14, 2026, 5:35 a.m. |
Created at: April 10, 2026, 5:20 a.m.