Triple
T3737578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DLR Trauen site |
E79621
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Trauen |
E79621
|
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: Trauen | Statement: [DLR Trauen site, locatedIn, Trauen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trauen Context triple: [DLR Trauen site, locatedIn, Trauen]
-
A.
Trauen
chosen
Trauen is a village in Lower Saxony, Germany, known for hosting a research facility of the German Aerospace Center (DLR).
-
B.
Troost
Troost is a German surname most notably associated with Paul Troost, an influential early 20th-century architect.
-
C.
Trebsen
Trebsen is a small town in the Free State of Saxony in eastern Germany, known for its historic castle and location along the Mulde River.
-
D.
Suret
Suret is a modern Eastern Neo-Aramaic language spoken primarily by Assyrian communities in parts of Iraq, Syria, Iran, and the global diaspora.
-
E.
Freyung
Freyung is a small town in southeastern Bavaria, Germany, known as a gateway to the Bavarian Forest region.
- 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_69ad8b115610819095b02007da5ca3cb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb3e9248819098d481fe29e1c628 |
completed | March 8, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4db20bdfc81909cd27278ff5d9716 |
completed | March 14, 2026, 3:50 a.m. |
Created at: March 8, 2026, 3:34 p.m.