Triple

T31018010
Position Surface form Disambiguated ID Type / Status
Subject Herring Run E790374 entity
Predicate isPartOf P10 FINISHED
Object Baltimore urban watershed network
The Baltimore urban watershed network is a collaborative system of interconnected urban streams, parks, and community initiatives focused on restoring and managing Baltimore’s waterways and their surrounding environments.
 E1943742 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: Baltimore urban watershed network | Statement: [Herring Run, isPartOf, Baltimore urban watershed network]
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: Baltimore urban watershed network
Triple: [Herring Run, isPartOf, Baltimore urban watershed network]
Generated description
The Baltimore urban watershed network is a collaborative system of interconnected urban streams, parks, and community initiatives focused on restoring and managing Baltimore’s waterways and their surrounding environments.

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_69f224c811508190a7de096a5b1f5798 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6948d13108190b305712f1399ab1c completed May 3, 2026, 12:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a29184242448190a64b1b006180ff04 completed June 10, 2026, 7:54 a.m.
NEDg Description generation batch_6a291c3f0ac48190ad53bb321815d82a completed June 10, 2026, 8:11 a.m.
NED2 Entity disambiguation (via description) batch_6a29202910a48190957c7b3a0a18a32a completed June 10, 2026, 8:28 a.m.
Created at: April 29, 2026, 8:58 p.m.