Triple

T26509186
Position Surface form Disambiguated ID Type / Status
Subject Douglas, Chicago E669630 entity
Predicate hasMajorStreet P30026 FINISHED
Object East 35th Street
East 35th Street is a significant east–west thoroughfare on Chicago’s South Side that runs through the Douglas community area and connects several historic neighborhoods and landmarks.
 E1841357 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 35th Street | Statement: [Douglas, Chicago, hasMajorStreet, East 35th 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 35th Street
Triple: [Douglas, Chicago, hasMajorStreet, East 35th Street]
Generated description
East 35th Street is a significant east–west thoroughfare on Chicago’s South Side that runs through the Douglas community area and connects several historic neighborhoods and landmarks.

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_69eeb319ec70819090834c2591cf5f1e completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f613906718819093fcde1fceec8bee completed May 2, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24ec1206408190a365efc5099adc69 completed June 7, 2026, 3:57 a.m.
NEDg Description generation batch_6a24f04a62088190a7c7981e2baab162 completed June 7, 2026, 4:15 a.m.
NED2 Entity disambiguation (via description) batch_6a24f4b1f6bc8190b2edb78cc273e419 completed June 7, 2026, 4:33 a.m.
Created at: April 27, 2026, 1:19 a.m.