Triple

T30073645
Position Surface form Disambiguated ID Type / Status
Subject Nanjemoy, Maryland, United States E764254 entity
Predicate locatedNear P294 FINISHED
Object Nanjemoy Creek
Nanjemoy Creek is a tidal tributary of the Potomac River in southern Maryland known for its wetlands, wildlife habitat, and relatively undeveloped natural shoreline.
 E2294445 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: Nanjemoy Creek | Statement: [Nanjemoy, Maryland, United States, locatedNear, Nanjemoy Creek]
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: Nanjemoy Creek
Triple: [Nanjemoy, Maryland, United States, locatedNear, Nanjemoy Creek]
Generated description
Nanjemoy Creek is a tidal tributary of the Potomac River in southern Maryland known for its wetlands, wildlife habitat, and relatively undeveloped natural shoreline.

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_69f22472eee081909791dc372aa766e9 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67d3b9b0c81909091a13dcf2b63b7 completed May 2, 2026, 10:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7be7d2f8988190b631a1f66e8bbb68 completed Aug. 12, 2026, 3:26 a.m.
NEDg Description generation batch_6a7beae1d7248190b887d4835f7ff306 completed Aug. 12, 2026, 3:39 a.m.
NED2 Entity disambiguation (via description) batch_6a7beb30238481908aa9682bfd6d333e completed Aug. 12, 2026, 3:40 a.m.
Created at: April 29, 2026, 7:01 p.m.