Triple

T24327440
Position Surface form Disambiguated ID Type / Status
Subject Sumter National Forest E613139 entity
Predicate hasPart P35 FINISHED
Object Long Cane Ranger District
Long Cane Ranger District is a management unit of the Sumter National Forest in South Carolina, known for its pine and hardwood forests, wildlife habitat, and recreational opportunities such as hiking, hunting, and camping.
E1631236 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: Long Cane Ranger District | Statement: [Sumter National Forest, hasPart, Long Cane Ranger District]
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: Long Cane Ranger District
Triple: [Sumter National Forest, hasPart, Long Cane Ranger District]
Generated description
Long Cane Ranger District is a management unit of the Sumter National Forest in South Carolina, known for its pine and hardwood forests, wildlife habitat, and recreational opportunities such as hiking, hunting, and camping.

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_69e2d7db6d5c819091194918157a7c1f completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f292eebf7081908ef50ef331ff88aa completed April 29, 2026, 11:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fd65962588190bfd2d8d898a74a2e completed May 22, 2026, 4:06 a.m.
NEDg Description generation batch_6a0fd7f84a908190a128494e4b442ada completed May 22, 2026, 4:13 a.m.
NED2 Entity disambiguation (via description) batch_6a0fd8d0f6848190a77aff96b4fbcc3d completed May 22, 2026, 4:17 a.m.
Created at: April 18, 2026, 1:54 a.m.