Triple
T18480908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tennengau |
E451553
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Abtenau
Abtenau is a picturesque market town in the Austrian state of Salzburg, known for its alpine scenery and role as a popular year-round tourist destination.
|
E1335547
|
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: Abtenau | Statement: [Tennengau, contains, Abtenau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abtenau Context triple: [Tennengau, contains, Abtenau]
-
A.
Seßlach
Seßlach is a small, well-preserved medieval town in northern Bavaria, Germany, known for its intact city walls and historic half-timbered houses.
-
B.
Adelsried
Adelsried is a small municipality in the Swabian region of Bavaria in southern Germany.
-
C.
Maroldsweisach
Maroldsweisach is a municipality in the Haßberge district of northern Bavaria, Germany, known for its rural setting and historic Franconian character.
-
D.
Reichenau
Reichenau is a German municipality best known for its UNESCO-listed monastic island on Lake Constance, renowned for its medieval abbey and cultural heritage.
-
E.
Reichenau
Reichenau is a locality in the Swiss canton of Graubünden known as the meeting point of the Vorderrhein and Hinterrhein rivers, which together form the Rhine.
- 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: Abtenau Triple: [Tennengau, contains, Abtenau]
Generated description
Abtenau is a picturesque market town in the Austrian state of Salzburg, known for its alpine scenery and role as a popular year-round tourist destination.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Abtenau Target entity description: Abtenau is a picturesque market town in the Austrian state of Salzburg, known for its alpine scenery and role as a popular year-round tourist destination.
-
A.
Seßlach
Seßlach is a small, well-preserved medieval town in northern Bavaria, Germany, known for its intact city walls and historic half-timbered houses.
-
B.
Adelsried
Adelsried is a small municipality in the Swabian region of Bavaria in southern Germany.
-
C.
Maroldsweisach
Maroldsweisach is a municipality in the Haßberge district of northern Bavaria, Germany, known for its rural setting and historic Franconian character.
-
D.
Reichenau
Reichenau is a German municipality best known for its UNESCO-listed monastic island on Lake Constance, renowned for its medieval abbey and cultural heritage.
-
E.
Reichenau
Reichenau is a locality in the Swiss canton of Graubünden known as the meeting point of the Vorderrhein and Hinterrhein rivers, which together form the Rhine.
- 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e531d3d13c81909c52d797360b840a |
completed | April 19, 2026, 7:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a051709a15c8190bea7d6bc6d70b4e4 |
completed | May 14, 2026, 12:27 a.m. |
| NEDg | Description generation | batch_6a0517f3c948819093d8703856b1107f |
completed | May 14, 2026, 12:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05187ddccc8190996d0f2c7ed37eea |
completed | May 14, 2026, 12:34 a.m. |
Created at: April 10, 2026, 11:35 a.m.