Triple

T6484973
Position Surface form Disambiguated ID Type / Status
Subject Tuskegee National Forest E146484 entity
Predicate nearestCity P350 FINISHED
Object Tuskegee, Alabama E70707 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: Tuskegee, Alabama | Statement: [Tuskegee National Forest, nearestCity, Tuskegee, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tuskegee, Alabama
Context triple: [Tuskegee National Forest, nearestCity, Tuskegee, Alabama]
  • A. Tuskegee, Alabama, United States chosen
    Tuskegee, Alabama, United States, is a historically significant Southern city known for its prominent role in African American history, including the Tuskegee Institute and the Tuskegee Airmen.
  • B. Moody, Alabama
    Moody, Alabama is a small suburban city in central Alabama that forms part of the Birmingham metropolitan area.
  • C. Black, Alabama
    Black, Alabama is a small rural town located in southeastern Alabama near the Florida border.
  • D. Gadsden, Alabama
    Gadsden, Alabama is a small industrial city in northeastern Alabama known historically for its manufacturing plants and labor history.
  • E. Montgomery, Alabama
    Montgomery, Alabama is the state capital known as a pivotal center of the American civil rights movement, including events such as the Montgomery Bus Boycott.
  • 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_69c0090158c08190af0df9a2348d2d52 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a6efe1881909a044b1cdaa511af completed March 22, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723aba0f0819091ba9aa4184bf1d5 completed March 28, 2026, 12:41 a.m.
Created at: March 22, 2026, 4:52 p.m.