Triple

T28063695
Position Surface form Disambiguated ID Type / Status
Subject Midland RockHounds E709184 entity
Predicate previousBallpark P5404 FINISHED
Object Christensen Stadium
Christensen Stadium is a former minor league baseball park in Midland, Texas, that long served as the home field for the city’s professional baseball teams.
E1842213 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: Christensen Stadium | Statement: [Midland RockHounds, previousBallpark, Christensen Stadium]
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: Christensen Stadium
Triple: [Midland RockHounds, previousBallpark, Christensen Stadium]
Generated description
Christensen Stadium is a former minor league baseball park in Midland, Texas, that long served as the home field for the city’s professional baseball teams.

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_69ef9b6eb6d88190a3fea236eb0f7bed completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69f64018804c81909397f6bcf1ab0dea completed May 2, 2026, 6:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24ec17307c81908b0bccd381477e1d completed June 7, 2026, 3:57 a.m.
NEDg Description generation batch_6a24f1b9b9008190b3bad9eadfdfb4f8 completed June 7, 2026, 4:21 a.m.
NED2 Entity disambiguation (via description) batch_6a24f58fc4b481908784675c0203e96b completed June 7, 2026, 4:37 a.m.
Created at: April 27, 2026, 8:41 p.m.