Triple
T3164328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xicheng District |
E66174
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Xizhimen |
E68686
|
NE FINISHED |
How this triple was built (2 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: Xizhimen | Statement: [Xicheng District, contains, Xizhimen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xizhimen Context triple: [Xicheng District, contains, Xizhimen]
-
A.
Chongwenmen
Chongwenmen is a historic gate area in central Beijing that once formed part of the old city wall and now serves as a major commercial and transportation hub.
-
B.
Yongdingmen
Yongdingmen is a historic southern gate site of Beijing’s old city wall, now a reconstructed landmark and traffic node at the southern end of the city’s central axis.
-
C.
Nanluoguxiang
Nanluoguxiang is a historic hutong alley and popular cultural and tourist street in central Beijing, known for its traditional courtyard architecture, shops, cafes, and nightlife.
-
D.
Dongsi
Dongsi is a historic neighborhood and street-crossroads area in central Beijing known for its traditional hutong lanes and long-standing commercial streets.
-
E.
Xizhimen station
chosen
Xizhimen station is a major interchange hub in the Beijing Subway system, connecting multiple lines and serving the busy Xizhimen commercial and transport area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad85850c1481908a9e9c6242238de2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada61ba98881909106951c8ceeb959 |
completed | March 8, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b235d823948190b1fbe0dbf303133d |
completed | March 12, 2026, 3:41 a.m. |
Created at: March 8, 2026, 3:06 p.m.