Triple
T7966306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Longmen Grottoes |
E185215
|
entity |
| Predicate | locatedBetween |
P1262
|
FINISHED |
| Object |
Xiangshan
Xiangshan is a mountain in Luoyang, China, known for overlooking the Longmen Grottoes and associated with historic temples and scenic landscapes.
|
E703593
|
NE FINISHED |
How this triple was built (4 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: Xiangshan | Statement: [Longmen Grottoes, locatedBetween, Xiangshan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xiangshan Context triple: [Longmen Grottoes, locatedBetween, Xiangshan]
-
A.
Xiàngshān
Xiàngshān is a popular hiking spot in Taipei, Taiwan, known for its scenic trails and panoramic views of the city and Taipei 101.
-
B.
Fongshan
Fongshan is a district in Kaohsiung, Taiwan, known for its historical military sites and role as a former administrative center.
-
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.
Yangmingshan
Yangmingshan is a volcanic national park area near Taipei in northern Taiwan, known for its hot springs, hiking trails, and scenic mountain landscapes.
-
E.
Xiluoyuan
Xiluoyuan is a residential neighborhood and subdistrict located in Beijing’s Fengtai District.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Xiangshan Triple: [Longmen Grottoes, locatedBetween, Xiangshan]
Generated description
Xiangshan is a mountain in Luoyang, China, known for overlooking the Longmen Grottoes and associated with historic temples and scenic landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xiangshan Target entity description: Xiangshan is a mountain in Luoyang, China, known for overlooking the Longmen Grottoes and associated with historic temples and scenic landscapes.
-
A.
Xiàngshān
Xiàngshān is a popular hiking spot in Taipei, Taiwan, known for its scenic trails and panoramic views of the city and Taipei 101.
-
B.
Fongshan
Fongshan is a district in Kaohsiung, Taiwan, known for its historical military sites and role as a former administrative center.
-
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.
Yangmingshan
Yangmingshan is a volcanic national park area near Taipei in northern Taiwan, known for its hot springs, hiking trails, and scenic mountain landscapes.
-
E.
Xiluoyuan
Xiluoyuan is a residential neighborhood and subdistrict located in Beijing’s Fengtai District.
- F. None of above. chosen
Provenance (5 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_69ca8297699481909b75a405f01e03af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ba262208190887169fe94e47b0e |
completed | March 31, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe09c23388190baf86dcd7df60248 |
completed | March 31, 2026, 2:56 p.m. |
| NEDg | Description generation | batch_69cbe577d82481908946f26c6eb6172e |
completed | March 31, 2026, 3:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc33453b508190870539516ed473cc |
completed | March 31, 2026, 8:49 p.m. |
Created at: March 30, 2026, 5:12 p.m.