Triple

T3627309
Position Surface form Disambiguated ID Type / Status
Subject School of Advanced Air and Space Studies E76869 entity
Predicate locatedIn P40 FINISHED
Object Montgomery, Alabama E9524 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: Montgomery, Alabama | Statement: [School of Advanced Air and Space Studies, locatedIn, Montgomery, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montgomery, Alabama
Context triple: [School of Advanced Air and Space Studies, locatedIn, Montgomery, Alabama]
  • A. Montgomery, Alabama chosen
    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.
  • B. Montgomery
    Montgomery is a historic market town in Powys, Wales, known for its medieval castle ruins and Georgian architecture.
  • C. Montgomery
    Montgomery is a common English and Scottish surname of Norman origin, historically associated with nobility and military figures.
  • D. Gadsden, Alabama
    Gadsden, Alabama is a small industrial city in northeastern Alabama known historically for its manufacturing plants and labor history.
  • E. Moody, Alabama
    Moody, Alabama is a small suburban city in central Alabama that forms part of the Birmingham metropolitan area.
  • 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_69ad85dc03948190b35b7189e4175bcc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2ddccc881909ae13dca3dd8a11d completed March 8, 2026, 6:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f0989c88190b4c675c7a6ec0e3e completed March 14, 2026, 3:30 p.m.
Created at: March 8, 2026, 3:23 p.m.