Triple
T6869117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flachgau |
E158492
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Mattsee |
E502059
|
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: Mattsee | Statement: [Flachgau, contains, Mattsee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mattsee Context triple: [Flachgau, contains, Mattsee]
-
A.
Mattsee
chosen
Mattsee is a picturesque market town in the Austrian state of Salzburg, known for its lakeside setting, historic abbey, and well-preserved medieval center.
-
B.
Mustvee
Mustvee is a small Estonian town on the northern shore of Lake Peipus, known historically as a fishing and trading settlement with a mixed Estonian and Russian Old Believer community.
-
C.
Matemale
Matemale is a small commune in the Pyrénées-Orientales department of southern France, known for its high-altitude lake and mountain setting in the Capcir plateau.
-
D.
Megeb
Megeb is a dialect of the Dargin language spoken by the Dargin people of the North Caucasus region in Dagestan, Russia.
-
E.
Teisen
Teisen is a residential neighborhood in Oslo, Norway, known for its apartment blocks, green spaces, and convenient access to public transportation.
- 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_69c68831e3648190a643c328122e4d43 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8a916a88190b81551731dff2898 |
completed | March 27, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c74299ae148190a56c7b1ee8829f40 |
completed | March 28, 2026, 2:53 a.m. |
Created at: March 27, 2026, 2:22 p.m.