Triple
T10064570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neu-Anspach |
E213067
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Anspach
Anspach is a district or locality within the town of Neu-Anspach in the Hochtaunus region of Hesse, Germany.
|
E213067
|
NE FINISHED |
How this triple was built (4 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: Anspach | Statement: [Neu-Anspach, hasSubdivision, Anspach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anspach Context triple: [Neu-Anspach, hasSubdivision, Anspach]
-
A.
Neu-Anspach
Neu-Anspach is a small town in the Hochtaunus district of Hesse, Germany, known for its proximity to the Taunus mountains and the open-air museum Hessenpark.
-
B.
Uster
Uster is a Swiss town and municipality in the canton of Zürich, known as a regional center near Lake Greifen with a mix of urban amenities and surrounding natural landscapes.
-
C.
Riehen
Riehen is a municipality in the canton of Basel-Stadt in northern Switzerland, known as a residential suburb of Basel near the German border.
-
D.
Passau
Passau is a historic city in southeastern Germany, renowned for its picturesque old town and location at the meeting point of three rivers: the Danube, Inn, and Ilz.
-
E.
Triesen
Triesen is a municipality in the southern part of Liechtenstein, known for its historic village center and scenic Alpine surroundings.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Anspach Triple: [Neu-Anspach, hasSubdivision, Anspach]
Generated description
Anspach is a district or locality within the town of Neu-Anspach in the Hochtaunus region of Hesse, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anspach Target entity description: Anspach is a district or locality within the town of Neu-Anspach in the Hochtaunus region of Hesse, Germany.
-
A.
Neu-Anspach
chosen
Neu-Anspach is a small town in the Hochtaunus district of Hesse, Germany, known for its proximity to the Taunus mountains and the open-air museum Hessenpark.
-
B.
Uster
Uster is a Swiss town and municipality in the canton of Zürich, known as a regional center near Lake Greifen with a mix of urban amenities and surrounding natural landscapes.
-
C.
Riehen
Riehen is a municipality in the canton of Basel-Stadt in northern Switzerland, known as a residential suburb of Basel near the German border.
-
D.
Passau
Passau is a historic city in southeastern Germany, renowned for its picturesque old town and location at the meeting point of three rivers: the Danube, Inn, and Ilz.
-
E.
Triesen
Triesen is a municipality in the southern part of Liechtenstein, known for its historic village center and scenic Alpine surroundings.
- F. None of above.
Provenance (5 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_69ca83977128819084084eb7d1d8c52a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdcfd653748190aeddf7a679028604 |
completed | April 2, 2026, 2:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d30041f8a88190b24de139e4acf9bb |
completed | April 6, 2026, 12:37 a.m. |
| NEDg | Description generation | batch_69d301dd614481909b357f319ba5e876 |
completed | April 6, 2026, 12:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d302978e808190a9f5371a2bf4abce |
completed | April 6, 2026, 12:47 a.m. |
Created at: March 30, 2026, 8:58 p.m.