Triple
T10442158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fichtel Mountains |
E246194
|
entity |
| Predicate | sourceOfRiver |
P25636
|
FINISHED |
| Object | White Main |
E514986
|
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: White Main | Statement: [Fichtel Mountains, sourceOfRiver, White Main]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: White Main Context triple: [Fichtel Mountains, sourceOfRiver, White Main]
-
A.
White Main
chosen
White Main is one of the two principal headstreams of the Main River in Germany, rising in the Fichtel Mountains and flowing westward before joining the Red Main.
-
B.
Mellon Green
Mellon Green is a small urban park and public green space in downtown Pittsburgh, Pennsylvania, known for its lawn, fountain, and use as a gathering spot amid surrounding office towers.
-
C.
White’s
White’s is one of London’s oldest and most exclusive gentlemen’s clubs, renowned for its aristocratic membership and historic premises in St James’s.
-
D.
Blanc
Blanc is the surname of Mel Blanc, the legendary American voice actor best known for bringing to life many iconic Looney Tunes characters.
-
E.
Mainstreeter
Mainstreeter was a named passenger train of the Northern Pacific Railway that provided long-distance service across the northern United States.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fb9ebf488190ae776bd65e94cb00 |
completed | April 7, 2026, 12:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87ee0c2208190ae8d51a2a89a2586 |
completed | April 10, 2026, 4:38 a.m. |
Created at: April 6, 2026, 12:15 p.m.