Triple

T34560646
Position Surface form Disambiguated ID Type / Status
Subject Oak Grove Cemetery, Interlachen, Florida, United States E887329 entity
Predicate hasName P744 FINISHED
Object Oak Grove Cemetery
Oak Grove Cemetery is a local burial ground and historic resting place serving the community of Interlachen in Putnam County, Florida.
E2126950 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: Oak Grove Cemetery | Statement: [Oak Grove Cemetery, Interlachen, Florida, United States, hasName, Oak Grove 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: Oak Grove Cemetery
Triple: [Oak Grove Cemetery, Interlachen, Florida, United States, hasName, Oak Grove Cemetery]
Generated description
Oak Grove Cemetery is a local burial ground and historic resting place serving the community of Interlachen in Putnam County, Florida.

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_69f349d0c4d881908dd0950f5eb9ec0a completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f72062ad8081909e0a746d7e1734ee completed May 3, 2026, 10:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a37d9325eec8190ad925bfe0fd00b45 completed June 21, 2026, 12:29 p.m.
NEDg Description generation batch_6a37da92f6b48190a937a9c04bd5d064 completed June 21, 2026, 12:35 p.m.
NED2 Entity disambiguation (via description) batch_6a37dbed7540819081bd95af5520b163 completed June 21, 2026, 12:41 p.m.
Created at: May 1, 2026, 2:02 a.m.