Triple

T14565500
Position Surface form Disambiguated ID Type / Status
Subject 東沙環礁 E341773 entity
Predicate 環礁長度 P92628 FINISHED
Object 約25公里 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: 約25公里 | Statement: [東沙環礁, 環礁長度, 約25公里]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 環礁長度
Context triple: [東沙環礁, 環礁長度, 約25公里]
  • A. shorelineLength
    Indicates the total measured extent of a land area’s boundary where it meets a body of water.
  • B. islandDiameter
    Indicates the measured maximum distance across an island, typically between its two most widely separated points.
  • C. hasCoastlineLengthRank
    Indicates the relative position of an entity in an ordered ranking based on the length of its coastline.
  • D. hasMainlandLengthApproxKm
    Indicates the approximate length of an entity’s mainland portion, measured in kilometers.
  • E. hasCoastlineLengthApprox chosen
    Indicates an approximate measurement of the total length of an entity’s coastline.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb38c6350819091090ffd15772f6f completed April 14, 2026, 9:37 p.m.
PD Predicate disambiguation batch_69de5c57489c8190b57917be1dba6ae6 completed April 14, 2026, 3:25 p.m.
Created at: April 10, 2026, 1:23 a.m.