Triple

T34557513
Position Surface form Disambiguated ID Type / Status
Subject Snake Creek Gap E887245 entity
Predicate relatedCampaignObjective P50135 FINISHED
Object capture of Atlanta — 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: capture of Atlanta | Statement: [Snake Creek Gap, relatedCampaignObjective, capture of Atlanta]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relatedCampaignObjective
Context triple: [Snake Creek Gap, relatedCampaignObjective, capture of Atlanta]
  • A. campaignObjectiveContext
    Indicates the specific situational or strategic context in which a campaign’s objective is defined or pursued.
  • B. campaignObjectiveSpanish
    Indicates the specific goal or purpose of a campaign as expressed in the Spanish language.
  • C. campaignObjectivePersian
    Indicates the specific goal or intended outcome of a campaign, expressed in the Persian language.
  • D. hasCreativeGoal
    Indicates that an entity possesses or is pursuing a specific creative objective or intended creative outcome.
  • E. aimOfCampaign chosen
    Indicates that a campaign is directed toward achieving a particular goal or objective.
  • 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_69f349d0c4d881908dd0950f5eb9ec0a completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_6a037c8ae0248190b7e2ce4bf852c22d completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379fd7aac8190873077e63873aa72 completed May 12, 2026, 7:05 p.m.
Created at: May 1, 2026, 2:02 a.m.