Triple

T26523954
Position Surface form Disambiguated ID Type / Status
Subject Mississippi River bridges E670633 entity
Predicate includes P1393 FINISHED
Object Hale Boggs Memorial Bridge
The Hale Boggs Memorial Bridge is a cable-stayed highway bridge in Louisiana that carries traffic across the Mississippi River between Destrehan and Luling.
 E1752682 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: Hale Boggs Memorial Bridge | Statement: [Mississippi River bridges, includes, Hale Boggs Memorial 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: Hale Boggs Memorial Bridge
Triple: [Mississippi River bridges, includes, Hale Boggs Memorial Bridge]
Generated description
The Hale Boggs Memorial Bridge is a cable-stayed highway bridge in Louisiana that carries traffic across the Mississippi River between Destrehan and Luling.

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_69eeb31ea1e08190b9ff43cf9bc25bf8 completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f613c430148190b0c42d341d5bde09 completed May 2, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a123a90973c8190801b79a9635df87b completed May 23, 2026, 11:38 p.m.
NEDg Description generation batch_6a123b221fa08190ae438b8bd0d91432 completed May 23, 2026, 11:41 p.m.
NED2 Entity disambiguation (via description) batch_6a123b91e8288190883b63c6dd8b5b4a completed May 23, 2026, 11:43 p.m.
Created at: April 27, 2026, 1:30 a.m.