Triple

T33169443
Position Surface form Disambiguated ID Type / Status
Subject Heritage Island E848987 entity
Predicate partOf P40 FINISHED
Object Anacostia River islands
The Anacostia River islands are a group of small, mostly man-made islands in Washington, D.C.’s Anacostia River that serve as urban green spaces and wildlife habitats.
 E2039673 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: Anacostia River islands | Statement: [Heritage Island, partOf, Anacostia River islands]
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: Anacostia River islands
Triple: [Heritage Island, partOf, Anacostia River islands]
Generated description
The Anacostia River islands are a group of small, mostly man-made islands in Washington, D.C.’s Anacostia River that serve as urban green spaces and wildlife habitats.

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_69f3495be8808190bbf427733df08aad completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d95198dc81909e0db79f341283de completed May 3, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3525c4656c8190b7eaf81c4102f1f4 completed June 19, 2026, 11:19 a.m.
NEDg Description generation batch_6a3526724b348190b30a37434afbee97 completed June 19, 2026, 11:22 a.m.
NED2 Entity disambiguation (via description) batch_6a35279eb8b08190970ba8ea52ac75a2 completed June 19, 2026, 11:27 a.m.
Created at: May 1, 2026, 1:28 a.m.