Triple

T16494144
Position Surface form Disambiguated ID Type / Status
Subject Kia Center E400638 entity
Predicate nearbyDistrict P18717 FINISHED
Object Downtown Orlando E395628 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: Downtown Orlando | Statement: [Kia Center, nearbyDistrict, Downtown Orlando]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Downtown Orlando
Context triple: [Kia Center, nearbyDistrict, Downtown Orlando]
  • A. downtown Orlando chosen
    Downtown Orlando is the central business and entertainment district of Orlando, Florida, known for its high-rise skyline, cultural venues, nightlife, and major sports and event facilities.
  • B. International Drive, Orlando
    International Drive in Orlando is a major tourist corridor known for its concentration of theme parks, attractions, hotels, restaurants, and shopping venues.
  • C. Orlando
    Orlando is a major city in central Florida known for its theme parks, tourism industry, and entertainment attractions.
  • D. Orlando
    Orlando is a common Italian surname borne by numerous individuals, including notable political and cultural figures.
  • E. Orlando
    Orlando is the Italian literary counterpart of the medieval knight Roland, best known as the chivalric hero of epic poems such as "Orlando Furioso."
  • 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e3189c8819097e6ba62f24b1f6c completed April 18, 2026, 7:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a005828849481909e95c5822ed6f74d completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:13 a.m.