Triple

T34330076
Position Surface form Disambiguated ID Type / Status
Subject Camp Patrick Henry, Virginia E880978 entity
Predicate processed P178885 FINISHED
Object hundreds of thousands of U.S. troops 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: hundreds of thousands of U.S. troops | Statement: [Camp Patrick Henry, Virginia, processed, hundreds of thousands of U.S. troops]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: processed
Context triple: [Camp Patrick Henry, Virginia, processed, hundreds of thousands of U.S. troops]
  • A. processedTo
    Indicates that one entity is transformed or converted into another entity through some processing operation.
  • B. processingUse
    Indicates that one entity uses or applies another entity as part of a processing or transformation activity.
  • C. passed
    Indicates that one entity successfully transferred control, responsibility, or an item (such as an object, message, or test) to another entity or through a specified stage or condition.
  • D. progressedBy
    Indicates that an activity, process, or state advances or moves forward as a result of the actions or influence of a specified agent or factor.
  • E. committed
    Indicates that an agent has carried out or been responsible for a specific act, event, or wrongdoing.
  • 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_69f349ba96a08190b94887bae2d8ee49 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f717836f0c8190b4a397bbac37dd09 completed May 3, 2026, 9:38 a.m.
PD Predicate disambiguation batch_69f7127a2ff08190b77d00963c9df621 completed May 3, 2026, 9:16 a.m.
PDg Predicate description generation batch_69f71782422c81908196d5e4a610cb1a completed May 3, 2026, 9:38 a.m.
Created at: May 1, 2026, 1:58 a.m.