Triple

T24409403
Position Surface form Disambiguated ID Type / Status
Subject Pittsfield Mets E615405 entity
Predicate homeBallpark P890 FINISHED
Object Wahconah Park
Wahconah Park is a historic minor league baseball stadium in Pittsfield, Massachusetts, known for its classic wooden grandstand and long-standing role as a community baseball venue.
E1633609 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: Wahconah Park | Statement: [Pittsfield Mets, homeBallpark, Wahconah Park]
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: Wahconah Park
Triple: [Pittsfield Mets, homeBallpark, Wahconah Park]
Generated description
Wahconah Park is a historic minor league baseball stadium in Pittsfield, Massachusetts, known for its classic wooden grandstand and long-standing role as a community baseball venue.

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_69e2d7e780bc81908049c779e697a7f6 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f2958076a88190880feb3ea6c0abf1 completed April 29, 2026, 11:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fe360cb6c8190a9cfefad1ef6c03c completed May 22, 2026, 5:02 a.m.
NEDg Description generation batch_6a0fe4dee88081909c792a3463ff3e45 completed May 22, 2026, 5:08 a.m.
NED2 Entity disambiguation (via description) batch_6a0fe572cdd08190a613209dc88d5ad1 completed May 22, 2026, 5:11 a.m.
Created at: April 18, 2026, 2:05 a.m.