Triple

T26493815
Position Surface form Disambiguated ID Type / Status
Subject Turner’s Gap E669225 entity
Predicate wasAssaultedBy P18691 FINISHED
Object Union IX Corps
Union IX Corps was a Union Army formation in the American Civil War, noted for its heavy combat role in major Eastern Theater campaigns under generals such as Ambrose Burnside.
 E1729257 NE FINISHED

How this triple was built (3 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: Union IX Corps | Statement: [Turner’s Gap, wasAssaultedBy, Union IX Corps]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Union IX Corps
Triple: [Turner’s Gap, wasAssaultedBy, Union IX Corps]
Generated description
Union IX Corps was a Union Army formation in the American Civil War, noted for its heavy combat role in major Eastern Theater campaigns under generals such as Ambrose Burnside.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: wasAssaultedBy
Context triple: [Turner’s Gap, wasAssaultedBy, Union IX Corps]
  • A. assaultedBy chosen
    Indicates that an entity has been attacked or subjected to violent physical aggression by another entity.
  • B. assaultLedBy
    Indicates that an assault was directed or coordinated by a particular person or group.
  • C. attackedIn
    Indicates that one entity carried out an attack in the location, context, or time frame specified by another entity or value.
  • D. wasAttackedInYear
    Indicates that an entity was the target of an attack that occurred in the specified year.
  • E. attackOccurred
    Indicates that an act of aggression or violence was carried out by one party against another.
  • F. None of above.

Provenance (6 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_69eeb319007081909642b414b114b35a completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f61354e6ac8190b5f8d50db9c45d47 completed May 2, 2026, 3:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11bb2d478c819081a1e44a76c1ca2a completed May 23, 2026, 2:35 p.m.
NEDg Description generation batch_6a11be60f78c819093363b32bd4e3447 completed May 23, 2026, 2:49 p.m.
NED2 Entity disambiguation (via description) batch_6a11bf9748e88190be2a61f717893a27 completed May 23, 2026, 2:54 p.m.
PD Predicate disambiguation batch_69f602d5c8808190a1fdbebd6f0981e8 completed May 2, 2026, 1:57 p.m.
Created at: April 27, 2026, 1:06 a.m.