Triple
T13824360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 4 (Beijing Subway) |
E332211
|
entity |
| Predicate | servesStation |
P839
|
FINISHED |
| Object | Renmin University station |
E395710
|
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: Renmin University station | Statement: [Line 4 (Beijing Subway), servesStation, Renmin University station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Renmin University station Context triple: [Line 4 (Beijing Subway), servesStation, Renmin University station]
-
A.
Renmin University station
chosen
Renmin University station is a Beijing Subway station serving the area around Renmin University of China in the city’s Haidian District.
-
B.
Chongwenmen station
Chongwenmen station is a major interchange stop on the Beijing Subway serving central Beijing near the historic Chongwenmen gate area.
-
C.
Dongsi station
Dongsi station is a Beijing Subway interchange station in central Beijing that serves both Line 5 and Line 6.
-
D.
Zhuxinzhuang station
Zhuxinzhuang station is a Beijing Subway interchange station in Changping District that serves as a key stop on Line 8 and connects with other suburban lines.
-
E.
Huilongguan station
Huilongguan station is a subway station in Beijing’s Changping District that serves the large Huilongguan residential area as part of the city’s urban rail network.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0285fb7c8190be4b90bdc0d6fa53 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a2df73c8190aeb6f472ac7ebeed |
completed | May 8, 2026, 5:52 a.m. |
Created at: April 9, 2026, 10:13 p.m.