Triple

T5037434
Position Surface form Disambiguated ID Type / Status
Subject Jacksonvillian E113459 entity
Predicate hasEtymologicalRoot P5801 FINISHED
Object Jacksonville E20727 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: Jacksonville | Statement: [Jacksonvillian, hasEtymologicalRoot, Jacksonville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jacksonville
Context triple: [Jacksonvillian, hasEtymologicalRoot, Jacksonville]
  • A. Jacksonville
    Jacksonville is a small city in west-central Illinois known for its historic colleges, including Illinois College, and its role as a regional educational and cultural center.
  • B. Jacksonville, Florida chosen
    Jacksonville, Florida is a major city in northeastern Florida known for its extensive riverfront, large land area, and role as a regional economic and transportation hub.
  • C. Orlando
    Orlando is a historic township area within Soweto, South Africa, known for its central role in the anti-apartheid struggle and vibrant local culture.
  • D. Orlando
    Orlando is a major city in central Florida known for its theme parks, tourism industry, and entertainment attractions.
  • E. Orlando
    Orlando is a common Italian surname borne by numerous individuals, including notable political and cultural figures.
  • 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_69bd44384298819089c49e7c330ec7b8 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73bb069c8190af86f1b2f95f3d95 completed March 20, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69becfb4215c819086d0f4b412de9f2d completed March 21, 2026, 5:04 p.m.
Created at: March 20, 2026, 1:37 p.m.