Triple

T17211108
Position Surface form Disambiguated ID Type / Status
Subject Mobile County, Alabama E417731 entity
Predicate contains P35 FINISHED
Object Creola, Alabama
Creola, Alabama is a small city in southwestern Alabama that forms part of the Mobile metropolitan area.
E1258101 NE FINISHED

How this triple was built (4 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: Creola, Alabama | Statement: [Mobile County, Alabama, contains, Creola, Alabama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Creola, Alabama
Context triple: [Mobile County, Alabama, contains, Creola, Alabama]
  • A. Jackson, Alabama
    Jackson, Alabama is a small city in Clarke County known historically as a regional center for timber and paper industries in southwestern Alabama.
  • B. Moody, Alabama
    Moody, Alabama is a small suburban city in central Alabama that forms part of the Birmingham metropolitan area.
  • C. Steele, Alabama
    Steele, Alabama is a small town in northeastern Alabama known for its rural character and location within St. Clair County.
  • D. Wetumpka, Alabama
    Wetumpka, Alabama is a small city in Elmore County known for its historic sites, including nearby Fort Toulouse-Fort Jackson, and its scenic location along the Coosa River.
  • E. Attalla, Alabama
    Attalla, Alabama is a small city in northeastern Alabama known historically as a railroad and industrial community within the Gadsden metropolitan area.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Creola, Alabama
Triple: [Mobile County, Alabama, contains, Creola, Alabama]
Generated description
Creola, Alabama is a small city in southwestern Alabama that forms part of the Mobile metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Creola, Alabama
Target entity description: Creola, Alabama is a small city in southwestern Alabama that forms part of the Mobile metropolitan area.
  • A. Jackson, Alabama
    Jackson, Alabama is a small city in Clarke County known historically as a regional center for timber and paper industries in southwestern Alabama.
  • B. Moody, Alabama
    Moody, Alabama is a small suburban city in central Alabama that forms part of the Birmingham metropolitan area.
  • C. Steele, Alabama
    Steele, Alabama is a small town in northeastern Alabama known for its rural character and location within St. Clair County.
  • D. Wetumpka, Alabama
    Wetumpka, Alabama is a small city in Elmore County known for its historic sites, including nearby Fort Toulouse-Fort Jackson, and its scenic location along the Coosa River.
  • E. Attalla, Alabama
    Attalla, Alabama is a small city in northeastern Alabama known historically as a railroad and industrial community within the Gadsden metropolitan area.
  • F. None of above. chosen

Provenance (5 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dc5a51481908d5ea0f9a1e9aa8b completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01674df2cc8190be602b15d49d38d0 completed May 11, 2026, 5:21 a.m.
NEDg Description generation batch_6a016c03dab88190926c36f2e6b55861 completed May 11, 2026, 5:41 a.m.
NED2 Entity disambiguation (via description) batch_6a016cba568481908920fe42cae5f153 completed May 11, 2026, 5:44 a.m.
Created at: April 10, 2026, 5:38 a.m.