Triple

T27801002
Position Surface form Disambiguated ID Type / Status
Subject Jackson Town Square E702239 entity
Predicate borderedBy P224 FINISHED
Object South Cache Street
South Cache Street is a central roadway in downtown Jackson, Wyoming, running along the historic Town Square and serving as one of the town’s main commercial and tourist corridors.
 E1791871 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: South Cache Street | Statement: [Jackson Town Square, borderedBy, South Cache 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: South Cache Street
Triple: [Jackson Town Square, borderedBy, South Cache Street]
Generated description
South Cache Street is a central roadway in downtown Jackson, Wyoming, running along the historic Town Square and serving as one of the town’s main commercial and tourist corridors.

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_69ef8408e0588190977cffa32dc33a29 completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69f6383625cc8190aa223d8ef655743c completed May 2, 2026, 5:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12f71e1a148190b6dd6d42d8bf8d1b completed May 24, 2026, 1:03 p.m.
NEDg Description generation batch_6a12fb496c188190abbbcd5200aa5457 completed May 24, 2026, 1:21 p.m.
NED2 Entity disambiguation (via description) batch_6a12fbc87d94819097dbb89898b6ba03 completed May 24, 2026, 1:23 p.m.
Created at: April 27, 2026, 5:34 p.m.