Triple

T882045
Position Surface form Disambiguated ID Type / Status
Subject Oman E19046 entity
Predicate borderTypeWithUnitedArabEmirates P3948 FINISHED
Object land border 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: land border | Statement: [Oman, borderTypeWithUnitedArabEmirates, land border]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: borderTypeWithUnitedArabEmirates
Context triple: [Oman, borderTypeWithUnitedArabEmirates, land border]
  • A. borderRegime chosen
    Indicates the type, rules, or control system governing how movement or interaction is managed across a border between entities.
  • B. borderedBy
    Indicates that one entity shares a common boundary or edge with another entity.
  • C. borderUnionTerritory
    Indicates that a geographic entity shares a land or maritime boundary with a specified union territory.
  • D. borderRegion
    Indicates a region that lies along or near the boundary separating two distinct geographic or political areas.
  • E. borderWithUnitedStatesVia
    Indicates that one entity shares a border with the United States specifically through or along the second entity (such as a body of water, territory, or region).
  • 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_69a4939c32488190a7ccd41cf0abb22b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4accc863c8190be9e5350732c30b1 completed March 1, 2026, 9:17 p.m.
PD Predicate disambiguation batch_69a4aa8eca748190b58e0f08b30fba43 completed March 1, 2026, 9:07 p.m.
Created at: March 1, 2026, 7:39 p.m.