Triple

T35530273
Position Surface form Disambiguated ID Type / Status
Subject Terrytown E1026779 entity
Predicate roadServedBy P385 FINISHED
Object Louisiana Highway 428
Louisiana Highway 428 is a state highway in Louisiana that serves the New Orleans metropolitan area, providing local access through communities such as Terrytown on the West Bank of the Mississippi River.
E2150695 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: Louisiana Highway 428 | Statement: [Terrytown, roadServedBy, Louisiana Highway 428]
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: Louisiana Highway 428
Triple: [Terrytown, roadServedBy, Louisiana Highway 428]
Generated description
Louisiana Highway 428 is a state highway in Louisiana that serves the New Orleans metropolitan area, providing local access through communities such as Terrytown on the West Bank of the Mississippi 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_69f76dff7e508190b28ceeee770dce23 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f797d134f0819086642b4cb807ca88 completed May 3, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38726e7b208190ba13cd76ae43017d completed June 21, 2026, 11:23 p.m.
NEDg Description generation batch_6a38731e9da88190b4e9158b234e20da completed June 21, 2026, 11:26 p.m.
NED2 Entity disambiguation (via description) batch_6a387377a850819080349b2f0c461bc6 completed June 21, 2026, 11:27 p.m.
Created at: May 3, 2026, 4:04 p.m.