Triple

T999577
Position Surface form Disambiguated ID Type / Status
Subject Lexington Minuteman Statue E21572 entity
Predicate accessFee P3997 FINISHED
Object no admission charge 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: no admission charge | Statement: [Lexington Minuteman Statue, accessFee, no admission charge]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: accessFee
Context triple: [Lexington Minuteman Statue, accessFee, no admission charge]
  • A. admissionFee chosen
    Indicates the monetary charge required for entry or participation in a place, event, or activity.
  • B. featuresCharge
    Indicates that one entity includes, offers, or is characterized by a particular charge (such as a fee, cost, or pricing component).
  • C. centralCharge
    Indicates that an entity has a specific central charge value, typically quantifying a key parameter in a conformal or related physical or mathematical theory.
  • D. hasCharge
    Indicates that an entity possesses a specific electrical or formal charge, such as positive, negative, or neutral.
  • E. charge
    Indicates that one entity formally accuses another of an offense or imposes a financial cost or obligation on them.
  • F. None of above.

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_69a493c476b48190b41fc5e793171cc6 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4e3d8b081908e536928e7d6199d completed March 1, 2026, 9:51 p.m.
PD Predicate disambiguation batch_69a4b2b057c48190b9e42df9246b3757 completed March 1, 2026, 9:42 p.m.
Created at: March 1, 2026, 7:41 p.m.