Triple

T25902354
Position Surface form Disambiguated ID Type / Status
Subject Laredo Port of Entry E652650 entity
Predicate borderStateUS P43351 FINISHED
Object Texas NE NERFINISHED

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: Texas | Statement: [Laredo Port of Entry, borderStateUS, Texas]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: borderStateUS
Context triple: [Laredo Port of Entry, borderStateUS, Texas]
  • A. borderStateOnUSSide chosen
    Indicates that a state is located on the U.S. side of an international border shared with another country.
  • B. borderAgencyUnitedStates
    Indicates that the agency operates as or is part of the border control or border security authority of the United States.
  • C. borderStateOf
    Indicates that one state shares a common boundary or border with another state.
  • D. 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).
  • E. borderingStateOrTerritory
    Indicates that one state or territory shares a common boundary with another state or territory.
  • 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_69e7ab3d3f8481909bc53ed64c06af33 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f69edbb7648190bd89c57e0932eac1 completed May 3, 2026, 1:03 a.m.
PD Predicate disambiguation batch_69f69d17e8d48190b30bcc2f4bd81eb2 completed May 3, 2026, 12:55 a.m.
Created at: April 22, 2026, 8:26 a.m.