Triple

T20033324
Position Surface form Disambiguated ID Type / Status
Subject Joshua Lawrence Chamberlain’s bayonet charge at Little Round Top E497193 entity
Predicate maneuverType P138443 FINISHED
Object downhill bayonet 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: downhill bayonet charge | Statement: [Joshua Lawrence Chamberlain’s bayonet charge at Little Round Top, maneuverType, downhill bayonet charge]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: maneuverType
Context triple: [Joshua Lawrence Chamberlain’s bayonet charge at Little Round Top, maneuverType, downhill bayonet charge]
  • A. notableManeuver
    Indicates that an entity is recognized for performing a specific maneuver, action, or tactical move that is considered notable or significant.
  • B. movementType
    Indicates the manner or mode in which an entity moves or is moved from one place or state to another.
  • C. mobilizationMethod
    Indicates the method or process by which resources, people, or assets are organized and activated for a particular purpose or operation.
  • D. tipoDeManejo
    Indicates the specific way or method in which something is handled, managed, or operated.
  • E. methodOfInvasion
    Indicates the specific way or technique by which an invasion is carried out.
  • 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66293e3908190ade07ba9e09da803 completed April 20, 2026, 5:29 p.m.
PD Predicate disambiguation batch_69e54ce752748190a0a1ffddd0372271 completed April 19, 2026, 9:45 p.m.
PDg Predicate description generation batch_69e54fc20888819083c9118a09d0d2dc completed April 19, 2026, 9:57 p.m.
Created at: April 11, 2026, 3:36 p.m.