Triple

T26607964
Position Surface form Disambiguated ID Type / Status
Subject Chiefland E667834 entity
Predicate near P350 FINISHED
Object Andrews Wildlife Management Area
Andrews Wildlife Management Area is a protected natural area in Florida known for its diverse wildlife habitats and opportunities for hunting, fishing, and outdoor recreation.
E1787660 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: Andrews Wildlife Management Area | Statement: [Chiefland, near, Andrews Wildlife Management Area]
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: Andrews Wildlife Management Area
Triple: [Chiefland, near, Andrews Wildlife Management Area]
Generated description
Andrews Wildlife Management Area is a protected natural area in Florida known for its diverse wildlife habitats and opportunities for hunting, fishing, and outdoor recreation.

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_69ee9cfd20348190bb1255d2603efb7a completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f615754be08190a56d59551f9f2525 completed May 2, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12e42b7bf88190bfb6e7179099d259 completed May 24, 2026, 11:42 a.m.
NEDg Description generation batch_6a12e4bc42e081909864bb2839e08143 completed May 24, 2026, 11:45 a.m.
NED2 Entity disambiguation (via description) batch_6a12e551ec288190b818e25bf2e62f45 completed May 24, 2026, 11:47 a.m.
Created at: April 27, 2026, 2:15 a.m.