Triple

T32870274
Position Surface form Disambiguated ID Type / Status
Subject Range Ponds State Park E840770 entity
Predicate locatedOn P40 FINISHED
Object Lower Range Pond
Lower Range Pond is a freshwater lake in Maine known for its recreational opportunities such as swimming, boating, and fishing within the scenic Range Ponds State Park.
E2035551 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: Lower Range Pond | Statement: [Range Ponds State Park, locatedOn, Lower Range Pond]
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: Lower Range Pond
Triple: [Range Ponds State Park, locatedOn, Lower Range Pond]
Generated description
Lower Range Pond is a freshwater lake in Maine known for its recreational opportunities such as swimming, boating, and fishing within the scenic Range Ponds State Park.

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_69f349436ee88190b72ee12d0f3f508e completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6cee45590819086e489bfccbe4ac3 completed May 3, 2026, 4:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34effbe60481908b98b1e5001ed3e0 completed June 19, 2026, 7:30 a.m.
NEDg Description generation batch_6a34f1c40a1c8190a0acbce642465c22 completed June 19, 2026, 7:37 a.m.
NED2 Entity disambiguation (via description) batch_6a34f3cc20188190a7a13e6c5a61b078 completed June 19, 2026, 7:46 a.m.
Created at: May 1, 2026, 1:17 a.m.