Triple

T13790358
Position Surface form Disambiguated ID Type / Status
Subject Christ Church in the City of Boston E331377 entity
Predicate signalPhrase P58686 FINISHED
Object One if by land, and two if by sea 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: One if by land, and two if by sea | Statement: [Christ Church in the City of Boston, signalPhrase, One if by land, and two if by sea]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: signalPhrase
Context triple: [Christ Church in the City of Boston, signalPhrase, One if by land, and two if by sea]
  • A. symbolicPhrase
    Indicates a relationship where one entity is represented or expressed by a symbolic phrase associated with another entity.
  • B. signaled
    Indicates that one entity communicated a message, warning, or instruction to another through a deliberate signal or cue.
  • C. hasSignaturePhrase
    Indicates that an entity (such as a person or character) is associated with a distinctive, repeatedly used phrase that is characteristically theirs.
  • D. signaturePhraseAssociated
    Indicates that a characteristic or frequently used phrase is associated with a particular entity as its recognizable or defining expression.
  • E. signalContent chosen
    Indicates that one entity is the informational content or message carried, conveyed, or represented by a signal produced or transmitted by another entity.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de024af32c8190a9bd1278e09564ba completed April 14, 2026, 9 a.m.
PD Predicate disambiguation batch_69dbc85fb600819098a2aab48169be96 completed April 12, 2026, 4:29 p.m.
Created at: April 9, 2026, 10:11 p.m.