Triple
T15857763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airbus Group defense electronics business spin-off |
E384503
|
entity |
| Predicate | headquartersLocation |
P62
|
FINISHED |
| Object | Taufkirchen |
E407068
|
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: Taufkirchen | Statement: [Airbus Group defense electronics business spin-off, headquartersLocation, Taufkirchen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taufkirchen Context triple: [Airbus Group defense electronics business spin-off, headquartersLocation, Taufkirchen]
-
A.
Taufkirchen
chosen
Taufkirchen is a municipality in Bavaria, Germany, known for its strong aerospace and defense industry presence.
-
B.
Straßkirchen
Straßkirchen is a municipality in Lower Bavaria, Germany, known for its rural character and location near the city of Straubing.
-
C.
Fürstenzell
Fürstenzell is a market town and municipality in Lower Bavaria, Germany, known for its historic monastery and rural setting near the city of Passau.
-
D.
Bodenkirchen
Bodenkirchen is a rural municipality in southeastern Bavaria, Germany, known for its agricultural character and location within the Landshut region.
-
E.
Willstätt
Willstätt is a municipality in southwestern Germany’s Baden-Württemberg region, situated near the Rhine and the French border.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1555808688190882b610109d1e5f4 |
completed | April 16, 2026, 9:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067948b308190a434cdf1d45ebef4 |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 4:50 a.m.