Triple
T20659848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hallein District |
E507730
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Abtenau |
E1335547
|
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: Abtenau | Statement: [Hallein District, hasMunicipality, Abtenau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abtenau Context triple: [Hallein District, hasMunicipality, Abtenau]
-
A.
Abtenau
chosen
Abtenau is a picturesque market town in the Austrian state of Salzburg, known for its alpine scenery and role as a popular year-round tourist destination.
-
B.
Seßlach
Seßlach is a small, well-preserved medieval town in northern Bavaria, Germany, known for its intact city walls and historic half-timbered houses.
-
C.
Adelsried
Adelsried is a small municipality in the Swabian region of Bavaria in southern Germany.
-
D.
Maroldsweisach
Maroldsweisach is a municipality in the Haßberge district of northern Bavaria, Germany, known for its rural setting and historic Franconian character.
-
E.
Langenrain
Langenrain is a village and district of the municipality of Allensbach in the state of Baden-Württemberg in southern Germany.
- 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b2eff7a88190be0bdea227616e02 |
completed | April 20, 2026, 11:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09005f0f308190b8122adfe99ca2f0 |
completed | May 16, 2026, 11:40 p.m. |
Created at: April 16, 2026, 11:44 a.m.