Triple

T19872414
Position Surface form Disambiguated ID Type / Status
Subject 洛河 E477550 entity
Predicate 河流类型 P1009 FINISHED
Object 黄河支流 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: 黄河支流 | Statement: [洛河, 河流类型, 黄河支流]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 河流类型
Context triple: [洛河, 河流类型, 黄河支流]
  • A. riverSystem chosen
    Indicates that one entity is a river system to which the other entity belongs or is a component (such as a tributary or segment).
  • 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. watercourseThroughRegion
    Indicates that a watercourse (such as a river or stream) passes through or traverses a specified region.
  • D. isRiverInHydrologicalSense
    Indicates that a river, considered as a hydrological feature (its water flow and drainage characteristics), is located within or associated with a specified geographic or hydrological area.
  • E. isWatercourseOf
    Indicates that a watercourse (such as a river or stream) flows through, belongs to, or is geographically associated with a particular area or feature.
  • 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658d826f88190be04188997952d1b completed April 20, 2026, 4:48 p.m.
PD Predicate disambiguation batch_69e537e8c4e481909fe95d795b4864e7 completed April 19, 2026, 8:15 p.m.
Created at: April 10, 2026, 1:51 p.m.