Triple

T1883122
Position Surface form Disambiguated ID Type / Status
Subject Perdido Key E39896 entity
Predicate hasNearbyCommunity P4647 FINISHED
Object Orange Beach, Alabama E134467 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: Orange Beach, Alabama | Statement: [Perdido Key, hasNearbyCommunity, Orange Beach, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orange Beach, Alabama
Context triple: [Perdido Key, hasNearbyCommunity, Orange Beach, Alabama]
  • A. Orange Beach chosen
    Orange Beach is a coastal resort city on Alabama’s Gulf Coast known for its white-sand beaches, boating, and vacation attractions.
  • B. Gulf Shores
    Gulf Shores is a popular coastal resort city on Alabama’s Gulf of Mexico shoreline, known for its white-sand beaches and tourism.
  • C. Atmore, Alabama
    Atmore, Alabama is a small city in Escambia County near the Florida state line, known historically for its railroad roots and proximity to several state and federal correctional facilities.
  • D. Opelika
    Opelika is a city in eastern Alabama known for its proximity to Auburn and its role as a regional center for industry and commerce.
  • E. Saraland
    Saraland is a suburban city in Mobile County, Alabama, known as part of the Mobile metropolitan area and for its residential communities and local industry.
  • 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_69a88633e4fc8190b7eb40463e048ec5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0fd4d6881908b8266bdae1517ce completed March 7, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfba6e94c8190ad1daafbe7f70a44 completed March 8, 2026, 10:43 p.m.
Created at: March 4, 2026, 7:34 p.m.