Triple

T36279684
Position Surface form Disambiguated ID Type / Status
Subject Taichung E892904 entity
Predicate hasLandAreaRankInTaiwan P78322 FINISHED
Object one of the largest municipalities by area in Taiwan 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: one of the largest municipalities by area in Taiwan | Statement: [Taichung, hasLandAreaRankInTaiwan, one of the largest municipalities by area in Taiwan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLandAreaRankInTaiwan
Context triple: [Taichung, hasLandAreaRankInTaiwan, one of the largest municipalities by area in Taiwan]
  • A. hasAreaRankInTaiwan chosen
    Indicates the relative ranking of an entity by its area size compared to other entities within Taiwan.
  • B. rankInChinaByArea
    Indicates the position of an entity in an ordered list of entities in China when sorted by their area size.
  • C. distanceFromTaiwanMainIsland
    Indicates the measured spatial distance between an entity’s location and the main island of Taiwan.
  • D. rankInArchipelagoByArea
    Indicates the position of an island in a size-based ordering of islands within the same archipelago, based on their land area.
  • E. associatedMainlandArea
    Indicates a relationship where a non-mainland region (such as an island or territory) is linked to the specific mainland area with which it is geographically, administratively, or politically connected.
  • 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_69f76e488f34819083e254dbe288c27a completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69ffab5adf2c819084700c5ea34615bf completed May 9, 2026, 9:47 p.m.
PD Predicate disambiguation batch_69ffaabffa208190b5214ca17cc8a5ea completed May 9, 2026, 9:44 p.m.
Created at: May 3, 2026, 4:09 p.m.