Triple

T27354688

Position	Surface form	Disambiguated ID	Type / Status
Subject	Division of Historical Resources	`E685651`	entity
Predicate	oversees	`P46`	FINISHED
Object	Florida Master Site File The Florida Master Site File is the state's official inventory and database of recorded historical and archaeological sites, buildings, and structures used for preservation planning and review.	`E1770034`	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: Florida Master Site File | Statement: [Division of Historical Resources, oversees, Florida Master Site File]

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: Florida Master Site File
Triple: [Division of Historical Resources, oversees, Florida Master Site File]

Generated description

The Florida Master Site File is the state's official inventory and database of recorded historical and archaeological sites, buildings, and structures used for preservation planning and review.

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_69ef14887c288190931b8431fdbf53c4`	completed	April 27, 2026, 7:47 a.m.
NER	Named-entity recognition	`batch_69f62c1c72f08190b50b81c56e59da63`	completed	May 2, 2026, 4:53 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a12a7d670308190ac810a4ec0683da9`	completed	May 24, 2026, 7:25 a.m.
NEDg	Description generation	`batch_6a12a87492b48190be0461fafe4d081d`	completed	May 24, 2026, 7:27 a.m.
NED2	Entity disambiguation (via description)	`batch_6a12a926a67c819083713f0245b3e299`	completed	May 24, 2026, 7:30 a.m.

Created at: April 27, 2026, 11:50 a.m.