Triple

T13860700
Position Surface form Disambiguated ID Type / Status
Subject Anniston–Oxford metropolitan area E333186 entity
Predicate hasLandmark P105 FINISHED
Object Fort McClellan E334846 NE 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: Fort McClellan | Statement: [Anniston–Oxford metropolitan area, hasLandmark, Fort McClellan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fort McClellan
Context triple: [Anniston–Oxford metropolitan area, hasLandmark, Fort McClellan]
  • A. Fort McClellan chosen
    Fort McClellan is a former U.S. Army installation near Anniston, Alabama, historically used for infantry, military police, and chemical corps training.
  • B. Montgomery Barracks
    Montgomery Barracks was a key British Army installation in Berlin that served as a principal base for the Berlin Infantry Brigade during the Cold War.
  • C. Fort Dix
    Fort Dix is a major U.S. Army installation in New Jersey that has long served as a key training and mobilization center for American soldiers.
  • D. Fort Gregg-Adams
    Fort Gregg-Adams is a major U.S. Army installation in Virginia that serves as the primary training and doctrine center for logistics, sustainment, and related support specialties.
  • E. Fort Story
    Fort Story is a U.S. military installation in Virginia known for its coastal training facilities and role in amphibious and expeditionary operations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de05c20db88190acb842748aa01039 completed April 14, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0fd3ffc8190965a730843411b80 completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:14 p.m.