Triple

T14921602
Position Surface form Disambiguated ID Type / Status
Subject City of Savannah, Georgia E371521 entity
Predicate nearbyCity P350 FINISHED
Object Pooler, Georgia E156723 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: Pooler, Georgia | Statement: [City of Savannah, Georgia, nearbyCity, Pooler, Georgia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pooler, Georgia
Context triple: [City of Savannah, Georgia, nearbyCity, Pooler, Georgia]
  • A. Pooler, Georgia chosen
    Pooler, Georgia is a rapidly growing suburban city in Chatham County known for its proximity to Savannah and its retail, residential, and industrial development.
  • B. Pavo, Georgia
    Pavo, Georgia is a small rural community in southern Georgia known for its agricultural surroundings and small-town character.
  • C. Tallapoosa, Georgia
    Tallapoosa, Georgia is a small city in Haralson County in western Georgia, known for its historic downtown and location near the Alabama state line.
  • D. Odum, Georgia
    Odum, Georgia is a small town in southeastern Georgia, United States, located in Wayne County.
  • E. De Soto, Georgia
    De Soto, Georgia is a small rural city located in southwestern Georgia in the United States.
  • 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_69d85cc7ea3481908228b5acb7d06f12 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded63121e48190b54eb2546acc3c93 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72c141088190936f2fd53fee80e4 completed May 8, 2026, 11:33 p.m.
Created at: April 10, 2026, 2:34 a.m.