Triple
T10669521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dongdan |
E251449
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Jianguomen |
E871821
|
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: Jianguomen | Statement: [Dongdan, near, Jianguomen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jianguomen Context triple: [Dongdan, near, Jianguomen]
-
A.
Jianguomen
chosen
Jianguomen is a major gate area and transportation hub in central Beijing, known for its historical significance and proximity to key government and commercial districts.
-
B.
Fuchengmen
Fuchengmen is a historic gate area in Beijing that once formed part of the old city wall and now serves as a major traffic and commercial hub.
-
C.
Zhengyangmen
Zhengyangmen, also known as Qianmen, is a historic gate on the southern edge of Beijing’s Tiananmen Square that once formed part of the old city wall and remains a prominent cultural landmark.
-
D.
Dongzhimen
Dongzhimen is a major commercial and transportation hub in Beijing, known for its historic city gate site, busy subway interchange, and airport express connection.
-
E.
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.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6f861513881909b44c711371086b7 |
completed | April 9, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbacf1a43c8190869f4a64f9d6a26c |
completed | April 12, 2026, 2:32 p.m. |
Created at: April 8, 2026, 9:09 p.m.