Triple

T24389065
Position Surface form Disambiguated ID Type / Status
Subject Main Street Bridge (Daytona Beach) E614831 entity
Predicate hasAlternativeName P39 FINISHED
Object Main Street Bascule Bridge
Main Street Bascule Bridge is a movable bascule bridge in Daytona Beach, Florida, that carries Main Street over the Halifax River.
E1822627 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: Main Street Bascule Bridge | Statement: [Main Street Bridge (Daytona Beach), hasAlternativeName, Main Street Bascule Bridge]
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: Main Street Bascule Bridge
Triple: [Main Street Bridge (Daytona Beach), hasAlternativeName, Main Street Bascule Bridge]
Generated description
Main Street Bascule Bridge is a movable bascule bridge in Daytona Beach, Florida, that carries Main Street over the Halifax River.

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_69e2d7e509b88190a53155d4f3de45ce completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f29456cc548190bb92b750fd2d04af completed April 29, 2026, 11:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1cac11ed6081909485adb0e27861f9 completed May 31, 2026, 9:45 p.m.
NEDg Description generation batch_6a1cacfc26bc8190ad65e3f8ef7d6d7b completed May 31, 2026, 9:49 p.m.
NED2 Entity disambiguation (via description) batch_6a1cadfb2d808190b2b46e8e2b7e2274 completed May 31, 2026, 9:54 p.m.
Created at: April 18, 2026, 2:04 a.m.