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.