Triple
T5024878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alva |
E112949
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Alva Burn |
E486171
|
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: Alva Burn | Statement: [Alva, hasRiver, Alva Burn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alva Burn Context triple: [Alva, hasRiver, Alva Burn]
-
A.
Alva Burn
chosen
Alva Burn is a watercourse in Scotland associated with the village of Alva, flowing through the surrounding glen and landscape.
-
B.
Idabel Thompkins
Idabel Thompkins is a spirited, tomboyish young girl in Truman Capote’s novel "Other Voices, Other Rooms," known for her fierce independence and close friendship with the protagonist.
-
C.
Edna Thompson
Edna Thompson was the wife of legendary American jazz composer and bandleader Duke Ellington.
-
D.
Cora Peterson
Cora Peterson is a key protagonist in the science fiction film "Fantastic Voyage," serving as a skilled and resourceful member of the miniaturized medical team sent inside a human body.
-
E.
Zelma Atwood
Zelma Atwood is best known as the widow of legendary soul singer Otis Redding and the longtime steward of his musical legacy and estate.
- 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_69bd4435c2f48190be593158cbfcf8a3 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd736a0f8c819091d06275954329e9 |
completed | March 20, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c60de2c81908208f93a4bd0ce55 |
completed | March 21, 2026, 1:25 p.m. |
Created at: March 20, 2026, 1:36 p.m.