Triple

T9674855
Position Surface form Disambiguated ID Type / Status
Subject Picayune E234120 entity
Predicate isCountyCityOf P13896 FINISHED
Object Pearl River County E332828 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: Pearl River County | Statement: [Picayune, isCountyCityOf, Pearl River County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pearl River County
Context triple: [Picayune, isCountyCityOf, Pearl River County]
  • A. Pearl River County chosen
    Pearl River County is a county in southern Mississippi known for its mix of small towns, including Picayune, and rural communities near the Louisiana border.
  • B. Pearl River County, Mississippi
    Pearl River County, Mississippi is a largely rural county in southern Mississippi known for its pine forests, small towns, and location near the Louisiana border.
  • C. Lamar County
    Lamar County is a county in the state of Georgia, United States, known for its seat in the city of Barnesville and its location in the central part of the state.
  • D. Lamar County
    Lamar County is a rural county in western Alabama known for its small communities and agricultural landscape.
  • E. Lamar County
    Lamar County is a county in northeastern Texas known for its seat in the city of Paris and its location near the Oklahoma border.
  • 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_69ca848f55e48190b3f67252571c3d45 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c6d6dd48190a77c486337a58cb6 completed April 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1e3f844008190b73215136dae6fcd completed April 5, 2026, 4:24 a.m.
Created at: March 30, 2026, 8:15 p.m.