Triple
T488705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American University |
E9937
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | CUWMA |
E48783
|
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: CUWMA | Statement: [American University, memberOf, CUWMA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CUWMA Context triple: [American University, memberOf, CUWMA]
-
A.
CUWMA
chosen
CUWMA is an academic organization or department associated with George Washington University, likely focused on a specialized area of research or study.
-
B.
CWA
CWA is a major U.S. environmental law that regulates the discharge of pollutants into the nation’s waters and sets water quality standards.
-
C.
CWI
CWI is the Netherlands' national research institute for mathematics and computer science, known for its pioneering contributions to theoretical and applied informatics.
-
D.
USMIA
USMIA is the UN/LOCODE identifier for the port and transport hub of Miami in the United States.
-
E.
CUHAV
CUHAV is the UN/LOCODE identifier for the port and city of Havana, the capital of Cuba.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a2e802e2908190ab17c9479e0b6412 |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f0df764481909811d9483dfbc4aa |
completed | Feb. 28, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a474738bb881908e5d0ff6a17301e8 |
completed | March 1, 2026, 5:16 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.