Triple

T6806069
Position Surface form Disambiguated ID Type / Status
Subject Orlando–Kissimmee–Sanford metropolitan area E156309 entity
Predicate principalCity P3940 FINISHED
Object Kissimmee E26777 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: Kissimmee | Statement: [Orlando–Kissimmee–Sanford metropolitan area, principalCity, Kissimmee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kissimmee
Context triple: [Orlando–Kissimmee–Sanford metropolitan area, principalCity, Kissimmee]
  • A. Kissimmee, Florida chosen
    Kissimmee, Florida is a central Florida city in Osceola County known for its proximity to major Orlando-area theme parks and tourist attractions.
  • B. Eustis
    Eustis is a surname of English origin borne by various notable individuals, including military figures and public officials in American history.
  • C. Ocala
    Ocala is a city in north-central Florida known for its thoroughbred horse farms and historic downtown.
  • D. Altamonte Springs
    Altamonte Springs is a suburban city in the Orlando metropolitan area of Central Florida, known for its residential communities, shopping centers, and recreational amenities.
  • E. 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.
  • 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_69c68826e6a48190a3d220b541e639de completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d3082dcc8190a84bc056236cc52e completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c769e8e06881908763bba8f7b82a99 completed March 28, 2026, 5:40 a.m.
Created at: March 27, 2026, 2:16 p.m.