Triple

T30155454
Position Surface form Disambiguated ID Type / Status
Subject 长江 E766507 entity
Predicate 河口类型 P53471 FINISHED
Object 河口三角洲 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: 河口三角洲 | Statement: [长江, 河口类型, 河口三角洲]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 河口类型
Context triple: [长江, 河口类型, 河口三角洲]
  • A. riverMouthType chosen
    Indicates the type or form of the feature where a river meets a larger body of water.
  • B. riverFeatureType
    Indicates the specific kind or category of physical or functional feature associated with a river (e.g., source, mouth, tributary, channel segment).
  • C. basinType
    Indicates the specific kind or classification of a basin associated with an entity (e.g., by form, function, or hydrological role).
  • D. hasRiverBedType
    Indicates the type or classification of the riverbed associated with a given river or watercourse.
  • E. riverMouthRegion
    Indicates the region or area where a river flows into a larger body of water, such as a sea, lake, or another river.
  • 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.