Triple
T3650620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qixing Mountain |
E77407
|
entity |
| Predicate | alsoRomanizedAs |
P2508
|
FINISHED |
| Object | Qixingshan |
E77407
|
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: Qixingshan | Statement: [Qixing Mountain, alsoRomanizedAs, Qixingshan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qixingshan Context triple: [Qixing Mountain, alsoRomanizedAs, Qixingshan]
-
A.
Qixing Mountain
chosen
Qixing Mountain is a prominent volcanic peak in northern Taiwan known for its scenic hiking trails and panoramic views over Taipei.
-
B.
Jingshan
Jingshan is the central artificial hill in Beijing’s Jingshan Park, historically built from excavated palace earth and known for its panoramic views over the Forbidden City.
-
C.
Xishan
Xishan is the given name of Yan Xishan, a prominent Chinese warlord and political leader active in Shanxi during the early 20th century.
-
D.
Yuejing Hill
Yuejing Hill is one of the scenic hills within Guangzhou’s Yuexiu Park, known for its greenery, walking paths, and city views.
-
E.
Tianshou Mountain
Tianshou Mountain is a notable mountain in China, recognized for its scenic landscapes and cultural significance.
- 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_69ad85def5cc8190863dccf55a18bebb |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc39303bc819090725643e53a96d6 |
completed | March 8, 2026, 6:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b488394aa48190b91985aa912cf733 |
completed | March 13, 2026, 9:57 p.m. |
Created at: March 8, 2026, 3:24 p.m.