Triple

T26598441
Position Surface form Disambiguated ID Type / Status
Subject Cameron Run E667554 entity
Predicate partOf P40 FINISHED
Object Hunting Creek watershed
The Hunting Creek watershed is a drainage basin in Northern Virginia that collects runoff from streams such as Cameron Run before emptying into the Potomac River.
 E1732050 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: Hunting Creek watershed | Statement: [Cameron Run, partOf, Hunting Creek watershed]
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: Hunting Creek watershed
Triple: [Cameron Run, partOf, Hunting Creek watershed]
Generated description
The Hunting Creek watershed is a drainage basin in Northern Virginia that collects runoff from streams such as Cameron Run before emptying into the Potomac River.

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_69ee9cfc385081909ac9ae178030a06e completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f6156db8c081909facff45ff1cda55 completed May 2, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11c83f3f288190aed2546950bc946e completed May 23, 2026, 3:31 p.m.
NEDg Description generation batch_6a11c91aa6888190b17f656a39eefd1e completed May 23, 2026, 3:34 p.m.
NED2 Entity disambiguation (via description) batch_6a11ca6f162c8190a8c7fbc1e188ea90 completed May 23, 2026, 3:40 p.m.
Created at: April 27, 2026, 2:11 a.m.