Triple

T25711713
Position Surface form Disambiguated ID Type / Status
Subject Cedarville, Illinois E644749 entity
Predicate hasCemetery P1496 FINISHED
Object Cedarville Cemetery
Cedarville Cemetery is a historic burial ground in Cedarville, Illinois, best known as the final resting place of social reformer and Nobel Peace Prize laureate Jane Addams.
E1730673 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: Cedarville Cemetery | Statement: [Cedarville, Illinois, hasCemetery, Cedarville Cemetery]
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: Cedarville Cemetery
Triple: [Cedarville, Illinois, hasCemetery, Cedarville Cemetery]
Generated description
Cedarville Cemetery is a historic burial ground in Cedarville, Illinois, best known as the final resting place of social reformer and Nobel Peace Prize laureate Jane Addams.

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_69e77e83c8ec8190bf52fcdac4838984 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f5fc163fe48190a2680fa21dee8838 completed May 2, 2026, 1:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11c7e431048190ba02f0754703b0b0 completed May 23, 2026, 3:29 p.m.
NEDg Description generation batch_6a11c8d922608190b7b1d32a42e986d5 completed May 23, 2026, 3:33 p.m.
NED2 Entity disambiguation (via description) batch_6a11c99a6eec81909171f7d03a056fc8 completed May 23, 2026, 3:36 p.m.
Created at: April 21, 2026, 9:16 p.m.