Triple

T31058440
Position Surface form Disambiguated ID Type / Status
Subject West Orange Trailhead at Plant Street E791458 entity
Predicate near P350 FINISHED
Object Plant Street
Plant Street is a notable roadway in Winter Garden, Florida, known for serving as a central access point to the popular West Orange Trail and the city’s historic downtown area.
 E1945932 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: Plant Street | Statement: [West Orange Trailhead at Plant Street, near, Plant Street]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Plant Street
Triple: [West Orange Trailhead at Plant Street, near, Plant Street]
Generated description
Plant Street is a notable roadway in Winter Garden, Florida, known for serving as a central access point to the popular West Orange Trail and the city’s historic downtown area.

Provenance (5 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_69f224cb08908190ba71ad9aa87518ed completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69574dd888190b7228443486f8beb completed May 3, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a292b14604c8190bce4a58b0a82339a completed June 10, 2026, 9:15 a.m.
NEDg Description generation batch_6a292f17b0d88190a8127db7fef88d4a completed June 10, 2026, 9:32 a.m.
NED2 Entity disambiguation (via description) batch_6a29336ad4a88190913d094aaa393fcf completed June 10, 2026, 9:50 a.m.
Created at: April 29, 2026, 9 p.m.