Triple

T31596708
Position Surface form Disambiguated ID Type / Status
Subject Marsh Creek State Park E806236 entity
Predicate locatedIn P40 FINISHED
Object Marsh Creek Valley
Marsh Creek Valley is a scenic valley in Pennsylvania known for its rolling farmland, woodlands, and the reservoir-centered recreation offered by Marsh Creek State Park.
 E1979327 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: Marsh Creek Valley | Statement: [Marsh Creek State Park, locatedIn, Marsh Creek Valley]
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: Marsh Creek Valley
Triple: [Marsh Creek State Park, locatedIn, Marsh Creek Valley]
Generated description
Marsh Creek Valley is a scenic valley in Pennsylvania known for its rolling farmland, woodlands, and the reservoir-centered recreation offered by Marsh Creek 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_69f348d54ccc8190a03b5df9a2b40b25 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a8351f14819084cc7cb548cb6645 completed May 3, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2e6583b1ac8190a62465cd0850e6f9 completed June 14, 2026, 8:25 a.m.
NEDg Description generation batch_6a2e66c0462881909c4d15469d7191e7 completed June 14, 2026, 8:30 a.m.
NED2 Entity disambiguation (via description) batch_6a2e67b73b308190826f4229c0eaa495 completed June 14, 2026, 8:35 a.m.
Created at: April 30, 2026, 10:30 p.m.