Triple
T21298565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bregenz Forest Mountains |
E524992
|
entity |
| Predicate | drainage |
P1559
|
FINISHED |
| Object | Subersach |
—
|
NE NERFINISHED |
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: Subersach | Statement: [Bregenz Forest Mountains, drainage, Subersach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Subersach Context triple: [Bregenz Forest Mountains, drainage, Subersach]
-
A.
Subersach
chosen
Subersach is a river in the Austrian state of Vorarlberg that flows through the Bregenzerwald region before joining the Bregenzer Ach.
-
B.
Sambir
Sambir is a small historic city in western Ukraine known for its medieval roots and location within the Lviv Oblast.
-
C.
Sancar
Sancar is the surname of Aziz Sancar, a Turkish-American biochemist and molecular biologist renowned for his Nobel Prize–winning work on DNA repair.
-
D.
Sahpresa
Sahpresa is a high-class Thoroughbred racehorse best known for winning multiple editions of the Group 1 Sun Chariot Stakes in England.
-
E.
Sarachei
Sarachei is a small settlement located within the municipality of Kalampaka in the Thessaly region of Greece.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7385a24d08190bfd410c7f10fa6f7 |
completed | April 21, 2026, 8:42 a.m. |
Created at: April 16, 2026, 4:04 p.m.