Triple

T627843
Position Surface form Disambiguated ID Type / Status
Subject Battle of Bladensburg E15857 entity
Predicate approximateStrengthAmerican P2981 FINISHED
Object about 6,000 defenders 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: about 6,000 defenders | Statement: [Battle of Bladensburg, approximateStrengthAmerican, about 6,000 defenders]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: approximateStrengthAmerican
Context triple: [Battle of Bladensburg, approximateStrengthAmerican, about 6,000 defenders]
  • A. estimatedStrength chosen
    Indicates that a value represents an approximate or inferred level, magnitude, or intensity of something rather than a precisely measured strength.
  • B. strengthDescription
    Indicates a description or characterization of the degree of strength associated with an entity or relationship.
  • C. strengthensFrom
    Indicates that one entity becomes stronger, more effective, or more intense as a result of influence, support, or input from another entity.
  • D. strength
    Indicates the degree of power, intensity, or effectiveness with which an entity can act on, influence, or withstand another entity or force.
  • E. strengthens
    Indicates that one entity increases the power, effectiveness, or resilience of another.
  • 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_69a4935c131c8190a5378c6bf101e8cc completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e59e2688190b3c18b17c5db1e2b completed March 1, 2026, 8:15 p.m.
PD Predicate disambiguation batch_69a49d01b29081908be87e4cd7726ff1 completed March 1, 2026, 8:09 p.m.
Created at: March 1, 2026, 7:35 p.m.