Triple

T27315763
Position Surface form Disambiguated ID Type / Status
Subject Interstate 295 in Massachusetts E689341 entity
Predicate partOf P40 FINISHED
Object Interstate 295
Interstate 295 is an auxiliary Interstate Highway that serves as a bypass and connector route around major cities along the main Interstate 95 corridor in the eastern United States.
E1719504 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: Interstate 295 | Statement: [Interstate 295 in Massachusetts, partOf, Interstate 295]
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: Interstate 295
Triple: [Interstate 295 in Massachusetts, partOf, Interstate 295]
Generated description
Interstate 295 is an auxiliary Interstate Highway that serves as a bypass and connector route around major cities along the main Interstate 95 corridor in the eastern United States.

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_69ef355c53a08190a8a92e355a7ce115 completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f627b69d0881908e5da0d2d6acedae completed May 2, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37b248b6d8819083d6f2d1ecac346d completed June 21, 2026, 9:43 a.m.
NEDg Description generation batch_6a37b44d33708190bf09f5667351e546 completed June 21, 2026, 9:52 a.m.
NED2 Entity disambiguation (via description) batch_6a37b4aaf3b081909f052e9cdbfd5996 completed June 21, 2026, 9:53 a.m.
Created at: April 27, 2026, 11:30 a.m.