Triple
T10870044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evangelical Union |
E256625
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Nassau-Hadamar |
E778136
|
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: Nassau-Hadamar | Statement: [Evangelical Union, hasMember, Nassau-Hadamar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nassau-Hadamar Context triple: [Evangelical Union, hasMember, Nassau-Hadamar]
-
A.
Nassau-Hadamar
chosen
Nassau-Hadamar was a small German county within the Holy Roman Empire, ruled by a branch of the House of Nassau and centered on the town of Hadamar.
-
B.
Sachsenhausen
Sachsenhausen is a historic and culturally vibrant district of Frankfurt am Main, known for its traditional apple wine taverns, museums, and picturesque old town streets.
-
C.
Sachsenhausen
Sachsenhausen is a district or neighborhood within the town of Giengen an der Brenz in the German state of Baden-Württemberg.
-
D.
Lippendorf
Lippendorf is a village in Saxony, Germany, historically notable as the birthplace of Katharina von Bora, the wife of Martin Luther.
-
E.
Karsdorf
Karsdorf is a small municipality in the German state of Saxony-Anhalt, known for its location along the Unstrut River and its surrounding wine-growing and agricultural landscape.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7518610e48190bee50db71ae0ca3e |
completed | April 9, 2026, 7:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7d9ce3c8190afeb2a27fb82b594 |
completed | April 15, 2026, 8:40 p.m. |
Created at: April 8, 2026, 9:20 p.m.