Triple

T33959763
Position Surface form Disambiguated ID Type / Status
Subject Columbus Commons E870677 entity
Predicate adjacentTo P224 FINISHED
Object East Town Street
East Town Street is a downtown Columbus, Ohio thoroughfare known for its proximity to major civic spaces, historic buildings, and urban parks.
 E2201881 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: East Town Street | Statement: [Columbus Commons, adjacentTo, East Town 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: East Town Street
Triple: [Columbus Commons, adjacentTo, East Town Street]
Generated description
East Town Street is a downtown Columbus, Ohio thoroughfare known for its proximity to major civic spaces, historic buildings, and urban parks.

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_69f3499c2d7481909c953a5010227725 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f702bed3cc8190a981f8e36e1b36ee completed May 3, 2026, 8:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3dde3e10b48190ae95374b4d517c48 completed June 26, 2026, 2:04 a.m.
NEDg Description generation batch_6a3de038b1808190abbd506aa3dc2f00 completed June 26, 2026, 2:13 a.m.
NED2 Entity disambiguation (via description) batch_6a3df50b91dc8190a662a75fa49a0e65 completed June 26, 2026, 3:42 a.m.
Created at: May 1, 2026, 1:49 a.m.