Triple

T17300454
Position Surface form Disambiguated ID Type / Status
Subject Lady Godiva E420024 entity
Predicate taxationProtestType P126899 FINISHED
Object symbolic public protest 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: symbolic public protest | Statement: [Lady Godiva, taxationProtestType, symbolic public protest]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: taxationProtestType
Context triple: [Lady Godiva, taxationProtestType, symbolic public protest]
  • A. taxType
    Indicates the specific category or classification of tax that applies to an entity, transaction, or amount.
  • B. opposedTaxType
    Indicates that one entity is against, resists, or disagrees with a particular type or category of tax associated with another entity.
  • C. taxationMethod
    Indicates the specific way or system by which taxes are calculated, collected, or applied in a given context.
  • D. typeOfTaxCredit
    Indicates that one entity is a specific kind or category of tax credit in relation to another entity.
  • E. introducedTaxType
    Indicates that an entity (such as a government or authority) has brought a particular type of tax into existence or put it into effect.
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e438f9e5ac8190ba0b5820790112d9 completed April 19, 2026, 2:07 a.m.
PD Predicate disambiguation batch_69e3b0118ad08190b119cd219c68ba67 completed April 18, 2026, 4:23 p.m.
PDg Predicate description generation batch_69e3b2a225b08190a50f984caa6513b9 completed April 18, 2026, 4:34 p.m.
Created at: April 10, 2026, 5:41 a.m.