Triple

T9908240
Position Surface form Disambiguated ID Type / Status
Subject Marshall County, Alabama E185071 entity
Predicate containsSettlement P847 FINISHED
Object Arab, Alabama E446780 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: Arab, Alabama | Statement: [Marshall County, Alabama, containsSettlement, Arab, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arab, Alabama
Context triple: [Marshall County, Alabama, containsSettlement, Arab, Alabama]
  • A. Arab, Alabama chosen
    Arab, Alabama is a small city in north-central Alabama known for its proximity to Guntersville Lake and Dam and its location atop Brindlee Mountain.
  • B. Alabaster, Alabama
    Alabaster, Alabama is a rapidly growing suburban city in central Alabama known for its residential communities, schools, and retail centers just south of Birmingham.
  • C. Black, Alabama
    Black, Alabama is a small rural town located in southeastern Alabama near the Florida border.
  • D. Ardmore, Alabama
    Ardmore, Alabama is a small town in northern Alabama known for straddling the state line with Tennessee and serving as a local crossroads community.
  • E. Argo, Alabama
    Argo, Alabama is a small town in the Birmingham metropolitan area known for its suburban-rural character within central Alabama.
  • 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_69ca8296165881908ca4750701af1f29 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb50feb008190aa9c084f590c0ebd completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20daabd5881908b02da50a640766a completed April 5, 2026, 7:22 a.m.
Created at: March 30, 2026, 8:41 p.m.