Triple
T10988129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haßberge (district) |
E259683
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Lauter
Lauter is a small municipality in the Haßberge district of Bavaria, Germany, known for its rural character and Franconian countryside setting.
|
E898328
|
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: Lauter | Statement: [Haßberge (district), contains, Lauter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lauter Context triple: [Haßberge (district), contains, Lauter]
-
A.
Lauter
Lauter is a small river in Germany that serves as a tributary of the Innerste.
-
B.
Seelbach
Seelbach is a municipality in southwestern Germany’s Baden-Württemberg region, situated in the Ortenau district near the Black Forest.
-
C.
Lagercrantzen
Lagercrantzen is a Swedish literary award named after the prominent critic and author Olof Lagercrantz, given in recognition of significant contributions to literature or literary criticism.
-
D.
Mahlberg
Mahlberg is a small town and municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
-
E.
Bramsche
Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
- 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: Lauter Triple: [Haßberge (district), contains, Lauter]
Generated description
Lauter is a small municipality in the Haßberge district of Bavaria, Germany, known for its rural character and Franconian countryside setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lauter Target entity description: Lauter is a small municipality in the Haßberge district of Bavaria, Germany, known for its rural character and Franconian countryside setting.
-
A.
Lauter
Lauter is a small river in Germany that serves as a tributary of the Innerste.
-
B.
Seelbach
Seelbach is a municipality in southwestern Germany’s Baden-Württemberg region, situated in the Ortenau district near the Black Forest.
-
C.
Lagercrantzen
Lagercrantzen is a Swedish literary award named after the prominent critic and author Olof Lagercrantz, given in recognition of significant contributions to literature or literary criticism.
-
D.
Mahlberg
Mahlberg is a small town and municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
-
E.
Bramsche
Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
- F. None of above. chosen
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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d787b574d08190adec34b814a26437 |
completed | April 9, 2026, 11:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e344f95ab88190bbce8f0eab0b2713 |
completed | April 18, 2026, 8:46 a.m. |
| NEDg | Description generation | batch_69e3556e8b408190a02a1fe194ae5750 |
completed | April 18, 2026, 9:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3591ecd548190b049ce95fe3f86d9 |
completed | April 18, 2026, 10:12 a.m. |
Created at: April 8, 2026, 9:24 p.m.