Triple
T22888049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hallstatt culture |
E567658
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Hallstatt |
—
|
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: Hallstatt | Statement: [Hallstatt culture, namedAfter, Hallstatt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hallstatt Context triple: [Hallstatt culture, namedAfter, Hallstatt]
-
A.
Hallstatt
chosen
Hallstatt is a picturesque Austrian village on Lake Hallstatt in the Salzkammergut region, renowned for its ancient salt mines and well-preserved Alpine architecture.
-
B.
Hilpoltstein
Hilpoltstein is a historic town in Bavaria, Germany, known for its medieval castle ruins and picturesque old town.
-
C.
Ainring
Ainring is a municipality in southeastern Bavaria, Germany, near the Austrian border and the city of Salzburg.
-
D.
Hallein
Hallein is a historic town in the Austrian state of Salzburg, known for its former salt mines and picturesque location along the Salzach River.
-
E.
Reichenhall
Reichenhall is a Bavarian spa town in southeastern Germany, renowned for its salt springs and alpine setting.
- 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_69e2458a92ec81908fc1cd5f6407d2ab |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17fc2adb4819081bce7e6849ba31a |
completed | April 29, 2026, 3:49 a.m. |
Created at: April 17, 2026, 3:40 p.m.