Triple
T14841265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 8 (Beijing Subway) |
E348969
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Nanluoguxiang station |
E448254
|
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: Nanluoguxiang station | Statement: [Line 8 (Beijing Subway), hasStation, Nanluoguxiang station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nanluoguxiang station Context triple: [Line 8 (Beijing Subway), hasStation, Nanluoguxiang station]
-
A.
Nanluoguxiang station
chosen
Nanluoguxiang station is a Beijing Subway station serving the popular Nanluoguxiang historic alley and surrounding hutong area in central Beijing.
-
B.
Gulou Dajie Station
Gulou Dajie Station is a Beijing Subway interchange station serving the historic Drum and Bell Tower area in central Beijing.
-
C.
Chongwenmen station
Chongwenmen station is a major interchange stop on the Beijing Subway serving central Beijing near the historic Chongwenmen gate area.
-
D.
Xizhimen station
Xizhimen station is a major interchange hub in the Beijing Subway system, connecting multiple lines and serving the busy Xizhimen commercial and transport area.
-
E.
Xuanwumen station
Xuanwumen station is a major interchange stop on the Beijing Subway, serving as a key transfer point near central Beijing.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded28e40f08190b309d8ac6404d2fc |
completed | April 14, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff82dfbc28819090cf56f16b5e7c39 |
completed | May 9, 2026, 6:54 p.m. |
Created at: April 10, 2026, 1:53 a.m.