Triple

T23905898
Position Surface form Disambiguated ID Type / Status
Subject Western Regions E601197 entity
Predicate includes P1393 FINISHED
Object oasis of Khotan
The oasis of Khotan is an important historical Silk Road settlement in the southern Taklamakan Desert, known as a center of ancient Buddhist culture and jade trade in what is now Xinjiang, China.
E1612049 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: oasis of Khotan | Statement: [Western Regions, includes, oasis of Khotan]
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: oasis of Khotan
Triple: [Western Regions, includes, oasis of Khotan]
Generated description
The oasis of Khotan is an important historical Silk Road settlement in the southern Taklamakan Desert, known as a center of ancient Buddhist culture and jade trade in what is now Xinjiang, China.

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_69e295364a488190bcac702e9bb7f764 completed April 17, 2026, 8:16 p.m.
NER Named-entity recognition batch_69f1ce91144c8190b894e25a45dfd7c9 completed April 29, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f7e66e2348190abe6b72dd35f4747 completed May 21, 2026, 9:51 p.m.
NEDg Description generation batch_6a0f7effdaec8190ad809bb1f17fa883 completed May 21, 2026, 9:54 p.m.
NED2 Entity disambiguation (via description) batch_6a0f7f84f8c881909f889b0b0ef7fd27 completed May 21, 2026, 9:56 p.m.
Created at: April 17, 2026, 8:35 p.m.