Triple

T32104108
Position Surface form Disambiguated ID Type / Status
Subject Hanzhong Basin E819934 entity
Predicate borderedBy P224 FINISHED
Object Bashan Mountains
The Bashan Mountains are a rugged mountain range in southwestern China, forming part of the boundary between the Sichuan Basin and the surrounding highlands and known for their steep terrain and deep river valleys.
 E1996673 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: Bashan Mountains | Statement: [Hanzhong Basin, borderedBy, Bashan Mountains]
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: Bashan Mountains
Triple: [Hanzhong Basin, borderedBy, Bashan Mountains]
Generated description
The Bashan Mountains are a rugged mountain range in southwestern China, forming part of the boundary between the Sichuan Basin and the surrounding highlands and known for their steep terrain and deep river valleys.

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_69f34901106881908ea893ad504a08be completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b698ef508190af74879f83f23fac completed May 3, 2026, 2:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f3b76e2708190a5d76a40bc983b9d completed June 14, 2026, 11:38 p.m.
NEDg Description generation batch_6a2f3c03822481908f8d5f6f99dea110 completed June 14, 2026, 11:40 p.m.
NED2 Entity disambiguation (via description) batch_6a2f3ece580081909ccc97a87984e251 completed June 14, 2026, 11:52 p.m.
Created at: May 1, 2026, 12:26 a.m.