Triple

T30155413
Position Surface form Disambiguated ID Type / Status
Subject 长江 E766507 entity
Predicate 在亚洲长度排名 P19299 FINISHED
Object 第1 LITERAL 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: 第1 | Statement: [长江, 在亚洲长度排名, 第1]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 在亚洲长度排名
Context triple: [长江, 在亚洲长度排名, 第1]
  • A. rankByLengthInAsia chosen
    Indicates that entities are ordered or compared based on their length within the context of Asia.
  • B. locatedInAsia
    Indicates that the subject entity is geographically situated within the continent of Asia.
  • C. rankingByLengthInChina
    Indicates that entities are ordered or evaluated based on their length within the context of China.
  • D. rankInChinaByArea
    Indicates the position of an entity in an ordered list of entities in China when sorted by their area size.
  • E. rankByLengthInWorld
    Indicates ordering entities within a given world or context based on their length, from shortest to longest or vice versa.
  • F. None of above.

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_69f22479cd088190ab4c6f3fce39d1c5 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67ed72fb08190955d6bfd90dd3b8e completed May 2, 2026, 10:46 p.m.
PD Predicate disambiguation batch_69f673c7a4588190837854f3ef61e6bf completed May 2, 2026, 9:59 p.m.
Created at: April 29, 2026, 7:20 p.m.