Triple

T26541637
Position Surface form Disambiguated ID Type / Status
Subject Taiwan Solidarity Union E671403 entity
Predicate failedToWinSeats P160621 FINISHED
Object 2016 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: 2016 | Statement: [Taiwan Solidarity Union, failedToWinSeats, 2016]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: failedToWinSeats
Context triple: [Taiwan Solidarity Union, failedToWinSeats, 2016]
  • A. lostMostSeatsIn
    Indicates that an entity experienced the greatest net loss of seats (such as legislative or representative positions) in a specified election or governing body compared to other entities.
  • B. failedToWinRace
    Indicates that an entity participated in a race but did not achieve victory in that competition.
  • C. numberOfSeatsWon
    Indicates the quantity of seats secured by an entity (such as a party or candidate) in an election or representative body.
  • D. lostParliamentaryMajority
    Indicates that a governing party or coalition no longer holds more than half the seats in a parliamentary body.
  • E. lostElectoralDignityTo
    Indicates that one political figure or entity lost an electoral position, title, or honor to another in an election or similar voting process.
  • 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_69eeb3206e748190b90c85cc81f38c91 completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f61431eb008190affb2b34864b3e8a completed May 2, 2026, 3:11 p.m.
PD Predicate disambiguation batch_69f602d7b1b0819095ddd3b5169f8ce2 completed May 2, 2026, 1:57 p.m.
PDg Predicate description generation batch_69f6037bf7a081908862a8359be80cf8 completed May 2, 2026, 2 p.m.
Created at: April 27, 2026, 1:42 a.m.