Triple

T28211428
Position Surface form Disambiguated ID Type / Status
Subject House of Representatives elections (usually concurrent) E711178 entity
Predicate canBeHeldSeparatelyFrom P186453 FINISHED
Object Senate elections 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: Senate elections | Statement: [House of Representatives elections (usually concurrent), canBeHeldSeparatelyFrom, Senate elections]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canBeHeldSeparatelyFrom
Context triple: [House of Representatives elections (usually concurrent), canBeHeldSeparatelyFrom, Senate elections]
  • A. canBeHeldWith
    Indicates that two entities are compatible or suitable to be held or used together at the same time.
  • B. canBeHeld
    Indicates that an entity is capable of being physically grasped, supported, or carried by another entity.
  • C. soldSeparatelyFrom
    Indicates that one item is not included with another and must be purchased or obtained independently.
  • D. canBeHeldIn
    Indicates that one entity is capable of being contained, hosted, or conducted within another entity.
  • E. canBeSplitAmong
    Indicates that something is divisible into parts that can be distributed among multiple recipients or groups.
  • F. None of above. chosen

Provenance (4 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_69efb51cb5288190818c1f63a266af11 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f9fe1a1ca4819084c196f0041f0be2 completed May 5, 2026, 2:26 p.m.
PD Predicate disambiguation batch_69f7cf769338819092a5f42653dcc956 completed May 3, 2026, 10:43 p.m.
PDg Predicate description generation batch_69f9fd66eed48190bdc26a8def328c2d completed May 5, 2026, 2:23 p.m.
Created at: April 27, 2026, 10:39 p.m.