Triple

T32927460
Position Surface form Disambiguated ID Type / Status
Subject Washington Class 3 Senate seat E842308 entity
Predicate hasCoEqualSeatFromState P205201 FINISHED
Object Washington Class 1 Senate seat
The Washington Class 1 Senate seat is one of the two United States Senate seats representing the state of Washington, elected on the Class 1 cycle.
 E2027484 NE FINISHED

How this triple was built (3 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: Washington Class 1 Senate seat | Statement: [Washington Class 3 Senate seat, hasCoEqualSeatFromState, Washington Class 1 Senate seat]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Washington Class 1 Senate seat
Triple: [Washington Class 3 Senate seat, hasCoEqualSeatFromState, Washington Class 1 Senate seat]
Generated description
The Washington Class 1 Senate seat is one of the two United States Senate seats representing the state of Washington, elected on the Class 1 cycle.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasCoEqualSeatFromState
Context triple: [Washington Class 3 Senate seat, hasCoEqualSeatFromState, Washington Class 1 Senate seat]
  • A. hasPredecessorSeat
    Indicates that one seat directly precedes another seat in an ordered sequence or arrangement.
  • B. hasSecondSeat
    Indicates that an entity possesses or includes a secondary seat in addition to a primary one.
  • C. hasSeatSince
    Indicates that an entity has continuously held a particular seat or position starting from a specified point in time.
  • D. hasSeatStatus
    Indicates the current condition or availability state of a seat in a given context.
  • E. hasSeat
    Indicates that one entity possesses, provides, or includes a seat for another entity.
  • F. None of above. chosen

Provenance (7 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_69f34948adfc8190a937f1f622783c0b completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_6a037cad051c8190b28b354b89208574 completed May 12, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a34c6a6960c8190a5e1183cf193efa7 completed June 19, 2026, 4:33 a.m.
NEDg Description generation batch_6a34c85d74248190abcd447356766cb7 completed June 19, 2026, 4:41 a.m.
NED2 Entity disambiguation (via description) batch_6a34c8d548a481909ce55d8ff6950124 completed June 19, 2026, 4:43 a.m.
PD Predicate disambiguation batch_6a0379f0cbe481909b4b8fc6cbe297f0 completed May 12, 2026, 7:05 p.m.
PDg Predicate description generation batch_6a037cab06288190b093935f235ddff2 completed May 12, 2026, 7:16 p.m.
Created at: May 1, 2026, 1:20 a.m.