Triple

T8049930
Position Surface form Disambiguated ID Type / Status
Subject Tuskegee Airmen E187647 entity
Predicate locatedIn P40 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 Airmen, locatedIn, Tuskegee, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tuskegee, Alabama
Context triple: [Tuskegee Airmen, locatedIn, 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_69ca82b15e948190a62fd7af5218426a completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f7826288190b2f292a7d34fcd80 completed March 31, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce6ca1110c8190b72a2a573ddab06d completed April 2, 2026, 1:18 p.m.
Created at: March 30, 2026, 5:24 p.m.