Triple

T16133
Position Surface form Disambiguated ID Type / Status
Subject United States Congress E321 entity
Predicate hasTermLength P540 FINISHED
Object 2 years for each Congress 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: 2 years for each Congress | Statement: [United States Congress, hasTermLength, 2 years for each Congress]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTermLength
Context triple: [United States Congress, hasTermLength, 2 years for each Congress]
  • A. termLength chosen
    Indicates the duration or period of time for which an agreement, position, or condition remains in effect.
  • B. termLimitDefinedBy
    Indicates that the duration or number of terms for holding a position is specified or constrained by a particular rule, law, or authority.
  • C. length
    Indicates a measurement relationship where a value specifies how long something is from one end to the other.
  • D. timePeriod
    Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
  • E. hasLimitation
    Indicates that an entity is subject to a constraint, restriction, or boundary that limits its scope, capability, or applicability.
  • 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_69a23d7ad88c8190bffe8ab091d86642 completed Feb. 28, 2026, 12:57 a.m.
NER Named-entity recognition batch_69a241ea1ea081908e8a81ca97531ba5 completed Feb. 28, 2026, 1:16 a.m.
PD Predicate disambiguation batch_69a23fec1fe8819080da6f2c745dc8fd completed Feb. 28, 2026, 1:07 a.m.
Created at: Feb. 28, 2026, 1:02 a.m.