Triple

T16900155
Position Surface form Disambiguated ID Type / Status
Subject Koko Nor E424412 entity
Predicate hasIsland P970 FINISHED
Object Haixin Shan E1239340 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: Haixin Shan | Statement: [Koko Nor, hasIsland, Haixin Shan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haixin Shan
Context triple: [Koko Nor, hasIsland, Haixin Shan]
  • A. Haixin Shan chosen
    Haixin Shan is a small island located within Qinghai Lake on the northeastern Tibetan Plateau in China.
  • B. Huaying Mountain
    Huaying Mountain is a scenic mountainous area in Sichuan Province, China, known for its natural landscapes, red tourism sites, and cultural significance.
  • C. Liushi Shan
    Liushi Shan is a prominent high-altitude peak in western China, recognized as the highest summit in the Kunlun Mountains range.
  • D. Xueshan
    Xueshan is a prominent mountain in Taiwan known for its high elevation, alpine scenery, and popularity among hikers and mountaineers.
  • E. Wanshou Shan
    Wanshou Shan, also known as Longevity Hill, is a prominent, scenic hill within Beijing’s Summer Palace complex, famed for its historic temples, pavilions, and panoramic views over Kunming Lake.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3c8dbc6e48190be90066b82fc61db completed April 18, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfcd0db8819080d415a18b3435e2 completed May 10, 2026, 6:34 p.m.
Created at: April 10, 2026, 5:29 a.m.