Triple

T38329598
Position Surface form Disambiguated ID Type / Status
Subject Cedar Key, Florida E1036883 entity
Predicate locatedOn P40 FINISHED
Object Cedar Keys archipelago
The Cedar Keys archipelago is a cluster of small, sparsely developed islands off Florida’s Gulf Coast known for their rich coastal ecosystems, historic fishing and clamming industries, and role as a wildlife refuge and eco-tourism destination.
E2264807 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: Cedar Keys archipelago | Statement: [Cedar Key, Florida, locatedOn, Cedar Keys archipelago]
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: Cedar Keys archipelago
Triple: [Cedar Key, Florida, locatedOn, Cedar Keys archipelago]
Generated description
The Cedar Keys archipelago is a cluster of small, sparsely developed islands off Florida’s Gulf Coast known for their rich coastal ecosystems, historic fishing and clamming industries, and role as a wildlife refuge and eco-tourism destination.

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_69f76e1c16fc8190bde982289dd5106b completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fcc690f64081909d6ff6dd7baff642 completed May 7, 2026, 5:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a419e2000008190a4d6dcdf3f6454da completed June 28, 2026, 10:20 p.m.
NEDg Description generation batch_6a419f2312b88190a4f217354ab74e8f completed June 28, 2026, 10:24 p.m.
NED2 Entity disambiguation (via description) batch_6a419fa35dc88190aeff12a429dfc3af completed June 28, 2026, 10:26 p.m.
Created at: May 3, 2026, 4:30 p.m.