Triple

T1724580
Position Surface form Disambiguated ID Type / Status
Subject Windows 1.0 E37467 entity
Predicate includesComponent P1393 FINISHED
Object Reversi E185564 NE 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: Reversi | Statement: [Windows 1.0, includesComponent, Reversi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reversi
Context triple: [Windows 1.0, includesComponent, Reversi]
  • A. Internet Reversi chosen
    Internet Reversi is an online-enabled version of the classic board game Reversi (Othello) that allowed players to compete over the internet.
  • B. Solitaire
    Solitaire is a fictional psychic tarot reader and Bond girl who appears as a key ally and love interest to James Bond in the novel and film "Live and Let Die."
  • C. Ludo
    Ludo is a common short form or nickname for the given name Ludovica.
  • D. the Fifteen
    The Fifteen was a major early 18th-century Jacobite rebellion in Britain that sought to restore the exiled Stuart dynasty to the throne.
  • E. Trichinopoly
    Trichinopoly, now commonly known as Tiruchirappalli, is a historic city in Tamil Nadu, India, renowned for its ancient temples and strategic location on the banks of the Kaveri River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a8861acab88190bb43cde203429399 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa635a5c8c8190b3fbf977a93838fd completed March 6, 2026, 5:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8aefefc881908acd48eebc67c6ec completed March 8, 2026, 2:42 p.m.
Created at: March 4, 2026, 7:30 p.m.