Triple
T6877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tennessee Valley Authority |
E136
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | TVA |
E136
|
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: TVA | Statement: [Tennessee Valley Authority, shortName, TVA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TVA Context triple: [Tennessee Valley Authority, shortName, TVA]
-
A.
Tennessee Valley Authority
chosen
The Tennessee Valley Authority is a federally owned U.S. corporation created during the New Deal to provide regional economic development, flood control, and electricity generation in the Tennessee Valley.
-
B.
Douglas
Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
-
C.
de Forest
de Forest is a surname most notably associated with Lee de Forest, an American inventor and early pioneer of radio and electronic communication.
-
D.
U.S. Nuclear Regulatory Commission
The U.S. Nuclear Regulatory Commission is the federal agency responsible for overseeing and ensuring the safe use of nuclear materials and facilities in the United States.
-
E.
Rogers
Rogers is a common English-language surname borne by numerous notable individuals across fields such as science, politics, entertainment, and sports.
- 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_69a23bb612708190b09f25385e4b63d1 |
completed | Feb. 28, 2026, 12:49 a.m. |
| NER | Named-entity recognition | batch_69a23ff1903c8190a7d1051b4795eecd |
completed | Feb. 28, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a248d5b92481909a846984a8639067 |
completed | Feb. 28, 2026, 1:45 a.m. |
Created at: Feb. 28, 2026, 12:54 a.m.