Triple

T3342464
Position Surface form Disambiguated ID Type / Status
Subject Hayden Fox E70289 entity
Predicate laterSetting P1957 FINISHED
Object Orlando, Florida E11265 NE FINISHED

How this triple was built (3 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: Orlando, Florida | Statement: [Hayden Fox, laterSetting, Orlando, Florida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orlando, Florida
Context triple: [Hayden Fox, laterSetting, Orlando, Florida]
  • A. Orlando chosen
    Orlando is a major city in central Florida known for its theme parks, tourism industry, and entertainment attractions.
  • B. 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.
  • C. Orlando
    Orlando is a common Italian surname borne by numerous individuals, including notable political and cultural figures.
  • D. Kissimmee, Florida
    Kissimmee, Florida is a central Florida city in Osceola County known for its proximity to major Orlando-area theme parks and tourist attractions.
  • E. Jacksonville, Florida
    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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: laterSetting
Context triple: [Hayden Fox, laterSetting, Orlando, Florida]
  • A. setting chosen
    Indicates the place, time, or context in which an event, action, or interaction occurs.
  • B. laterModification
    Indicates that one entity is a modification or revision that occurs after another in time.
  • C. laterLocation
    Indicates that an entity is located at a specified place at a later time than some reference time or earlier location.
  • D. laterGoal
    Indicates that one goal occurs or is intended to be achieved after another goal in time.
  • E. laterStatus
    Indicates that one entity represents a subsequent or resulting status or condition of another entity in time.
  • F. None of above.

Provenance (4 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_69ad85a405e48190b6e68de7cf9f319e completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1ee711481909c0d921f1b5b8562 completed March 8, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4cdc9089481909e9ef5f5e7edeaa6 completed March 14, 2026, 2:54 a.m.
PD Predicate disambiguation batch_69ada42df1d48190874bb05f95deefde completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:12 p.m.