Triple

T23945537
Position Surface form Disambiguated ID Type / Status
Subject Franklin Township, Marion County, Indiana E602900 entity
Predicate contains P35 FINISHED
Object Southeastway Park
Southeastway Park is a large public park in Franklin Township on the southeast side of Indianapolis, known for its woodlands, trails, and family-friendly outdoor recreation areas.
E1692415 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: Southeastway Park | Statement: [Franklin Township, Marion County, Indiana, contains, Southeastway 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: Southeastway Park
Triple: [Franklin Township, Marion County, Indiana, contains, Southeastway Park]
Generated description
Southeastway Park is a large public park in Franklin Township on the southeast side of Indianapolis, known for its woodlands, trails, and family-friendly outdoor recreation areas.

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_69e2953e4924819093f1c24c03476b42 completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f1d02dd0cc8190b32eb86bdfe0bf9a completed April 29, 2026, 9:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10cba53cf88190aab589aa3f38be43 completed May 22, 2026, 9:33 p.m.
NEDg Description generation batch_6a10cc81bb8881909413a1b8924a0fe2 completed May 22, 2026, 9:37 p.m.
NED2 Entity disambiguation (via description) batch_6a10cd0fbcc08190a12ded88d999feab completed May 22, 2026, 9:39 p.m.
Created at: April 17, 2026, 9:11 p.m.