Triple

T9973112
Position Surface form Disambiguated ID Type / Status
Subject Anacostia Watershed Restoration Partnership E196257 entity
Predicate abbreviation P43 FINISHED
Object AWRP
AWRP is a collaborative initiative focused on restoring and protecting the environmental health and water quality of the Anacostia River watershed.
 E832300 NE FINISHED

How this triple was built (4 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: AWRP | Statement: [Anacostia Watershed Restoration Partnership, abbreviation, AWRP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AWRP
Context triple: [Anacostia Watershed Restoration Partnership, abbreviation, AWRP]
  • A. AWPR
    AWPR is a major bypass road around Aberdeen, Scotland, designed to reduce congestion and improve regional connectivity.
  • B. AW
    AW is a German vehicle registration code associated with the district that includes the town of Remagen in the state of Rhineland-Palatinate.
  • C. AW
    AW is the standard abbreviation for Atlantic Water, the relatively warm, salty water mass originating in the North Atlantic that influences ocean circulation and Arctic climate.
  • D. AW
    AW is the two-letter ISO 3166-1 alpha-2 country code assigned to Aruba.
  • E. WARR
    WARR is the ICAO airport code for Juanda International Airport, a major airport serving Surabaya in East Java, Indonesia.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: AWRP
Triple: [Anacostia Watershed Restoration Partnership, abbreviation, AWRP]
Generated description
AWRP is a collaborative initiative focused on restoring and protecting the environmental health and water quality of the Anacostia River watershed.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AWRP
Target entity description: AWRP is a collaborative initiative focused on restoring and protecting the environmental health and water quality of the Anacostia River watershed.
  • A. AWPR
    AWPR is a major bypass road around Aberdeen, Scotland, designed to reduce congestion and improve regional connectivity.
  • B. AW
    AW is a German vehicle registration code associated with the district that includes the town of Remagen in the state of Rhineland-Palatinate.
  • C. AW
    AW is the standard abbreviation for Atlantic Water, the relatively warm, salty water mass originating in the North Atlantic that influences ocean circulation and Arctic climate.
  • D. AW
    AW is the two-letter ISO 3166-1 alpha-2 country code assigned to Aruba.
  • E. WARR
    WARR is the ICAO airport code for Juanda International Airport, a major airport serving Surabaya in East Java, Indonesia.
  • F. None of above. chosen

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_69ca82eea2b88190a0e511d21a31f386 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb7bc68608190a6545ea112850618 completed April 2, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23dd3e47c819095fef68b9939ec19 completed April 5, 2026, 10:47 a.m.
NEDg Description generation batch_69d23eb2971c8190bcdbc31b4ef19816 completed April 5, 2026, 10:51 a.m.
NED2 Entity disambiguation (via description) batch_69d240d7b7e881909183d7c33bd8cb5b completed April 5, 2026, 11 a.m.
Created at: March 30, 2026, 8:48 p.m.