Triple

T2665531
Position Surface form Disambiguated ID Type / Status
Subject Texas's 22nd congressional district E55625 entity
Predicate politicalCharacterization P5316 FINISHED
Object suburban district 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: suburban district | Statement: [Texas's 22nd congressional district, politicalCharacterization, suburban district]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: politicalCharacterization
Context triple: [Texas's 22nd congressional district, politicalCharacterization, suburban district]
  • A. hasPoliticalCharacteristic chosen
    Indicates that an entity possesses a specific political attribute, quality, or affiliation.
  • B. ideologicalCharacter
    Indicates a relationship where one entity embodies, expresses, or is defined by a particular ideology or set of ideological traits.
  • C. politicalPattern
    Indicates a recurring or characteristic way in which political behaviors, decisions, or power dynamics are organized or expressed.
  • D. politicalTendency
    Indicates the general political orientation, leaning, or ideological stance associated with an entity in relation to the political spectrum.
  • E. politicalSideDepicted
    Indicates that one entity portrays, represents, or visually depicts the political alignment, ideology, or side associated with another entity.
  • 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_69ab49e54de48190be708cd1cf8be073 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd96ed2748190a4feae98199b459d completed March 7, 2026, 7:53 a.m.
PD Predicate disambiguation batch_69abd81768748190bd965f367cf6ef37 completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:54 p.m.