Triple

T25017609
Position Surface form Disambiguated ID Type / Status
Subject Lynnfield Street E626182 entity
Predicate locatedIn P40 FINISHED
Object Wyoma neighborhood
Wyoma is a residential neighborhood in Lynn, Massachusetts, known for its suburban character and local amenities centered around the Lynnfield Street area.
 E1662211 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: Wyoma neighborhood | Statement: [Lynnfield Street, locatedIn, Wyoma neighborhood]
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: Wyoma neighborhood
Triple: [Lynnfield Street, locatedIn, Wyoma neighborhood]
Generated description
Wyoma is a residential neighborhood in Lynn, Massachusetts, known for its suburban character and local amenities centered around the Lynnfield Street area.

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_69e2ff27755881908490178e83701160 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f44ba720748190a16124b842247df2 completed May 1, 2026, 6:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1048b2a5b48190a1c9816ff28fdbc8 completed May 22, 2026, 12:14 p.m.
NEDg Description generation batch_6a10496ad0748190b797fea89fc9472d completed May 22, 2026, 12:17 p.m.
NED2 Entity disambiguation (via description) batch_6a104bc7449081909da91b61b68319af completed May 22, 2026, 12:27 p.m.
Created at: April 18, 2026, 6:06 a.m.