Triple

T15860567
Position Surface form Disambiguated ID Type / Status
Subject Quinnipiac River Watershed Association E384574 entity
Predicate abbreviation P43 FINISHED
Object QRWA
QRWA is a nonprofit environmental organization dedicated to protecting and restoring the Quinnipiac River and its surrounding watershed in Connecticut.
 E1180040 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: QRWA | Statement: [Quinnipiac River Watershed Association, abbreviation, QRWA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: QRWA
Context triple: [Quinnipiac River Watershed Association, abbreviation, QRWA]
  • A. KWA
    KWA is the IATA airport code for Bucholz Army Airfield, a joint military and civilian airfield on Kwajalein Atoll in the Marshall Islands.
  • B. QRW
    QRW is the IATA airport code for Osubi Airport, a regional airport serving the Warri area in Delta State, Nigeria.
  • C. QAR
    QAR is the Qatari riyal, the official national currency used in the State of Qatar.
  • D. WRQ
    WRQ (Write Request) is a TFTP protocol message used to initiate the transfer of a file from a client to a server.
  • E. OWAQ
    OWAQ is the NOAA Office of Weather and Air Quality, a federal program that advances research and improvements in weather forecasting and air quality prediction.
  • 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: QRWA
Triple: [Quinnipiac River Watershed Association, abbreviation, QRWA]
Generated description
QRWA is a nonprofit environmental organization dedicated to protecting and restoring the Quinnipiac River and its surrounding watershed in Connecticut.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: QRWA
Target entity description: QRWA is a nonprofit environmental organization dedicated to protecting and restoring the Quinnipiac River and its surrounding watershed in Connecticut.
  • A. KWA
    KWA is the IATA airport code for Bucholz Army Airfield, a joint military and civilian airfield on Kwajalein Atoll in the Marshall Islands.
  • B. QRW
    QRW is the IATA airport code for Osubi Airport, a regional airport serving the Warri area in Delta State, Nigeria.
  • C. QAR
    QAR is the Qatari riyal, the official national currency used in the State of Qatar.
  • D. WRQ
    WRQ (Write Request) is a TFTP protocol message used to initiate the transfer of a file from a client to a server.
  • E. OWAQ
    OWAQ is the NOAA Office of Weather and Air Quality, a federal program that advances research and improvements in weather forecasting and air quality prediction.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1555b952481909246f5ebf53df2a9 completed April 16, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa14da7ac8190bbef49a1602a76fe completed May 9, 2026, 9:04 p.m.
NEDg Description generation batch_69ffa41b33cc819096553ee33b144d36 completed May 9, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_69ffa4a168108190b6edf41830aa4cd0 completed May 9, 2026, 9:18 p.m.
Created at: April 10, 2026, 4:50 a.m.