Triple

T8312781
Position Surface form Disambiguated ID Type / Status
Subject Battle of Watling Street E194630 entity
Predicate forceStrengthRoman P31443 FINISHED
Object about 10,000 men 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 10,000 men | Statement: [Battle of Watling Street, forceStrengthRoman, about 10,000 men]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: forceStrengthRoman
Context triple: [Battle of Watling Street, forceStrengthRoman, about 10,000 men]
  • A. estimatedRomanForces chosen
    Indicates that a specified quantity represents an estimate of the size or strength of Roman military forces involved in a particular context or event.
  • B. forceType
    Indicates the specific kind or category of force involved in an interaction or event (e.g., physical, legal, military, or other defined force classifications).
  • C. usesRomanNumerals
    Indicates that something represents numbers or sequences using the Roman numeral system rather than standard Arabic digits.
  • D. strengthType
    Indicates the specific category or nature of strength associated with an entity or relationship (e.g., physical, structural, or conceptual strength).
  • E. strengthDescription
    Indicates a description or characterization of the degree of strength associated with an entity or relationship.
  • 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_69ca82e6e2648190a31eaf6f4f757b2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f5173c881909f2e84d53ea33a98 completed March 31, 2026, 8:01 a.m.
PD Predicate disambiguation batch_69cb70bb3a708190bc705222092da614 completed March 31, 2026, 6:59 a.m.
Created at: March 30, 2026, 5:54 p.m.