Triple
T21728197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neunkirchen District |
E536328
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Ternitz
Ternitz is a town and industrial municipality in the Austrian state of Lower Austria, known historically for its steel industry.
|
E1502395
|
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: Ternitz | Statement: [Neunkirchen District, hasMunicipality, Ternitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ternitz Context triple: [Neunkirchen District, hasMunicipality, Ternitz]
-
A.
Mauterndorf
Mauterndorf is a historic market town in the Austrian state of Salzburg, known for its well-preserved medieval castle and alpine setting in the Lungau region.
-
B.
Tattendorf
Tattendorf is a small wine-growing village and municipality in Lower Austria, known for its vineyards and rural character.
-
C.
Kiliansdorf
Kiliansdorf is a village and district of the town of Roth in the Bavarian region of Germany.
-
D.
Gößnitz
Gößnitz is a small town in the German state of Thuringia that lies within the broader Leipzig metropolitan area.
-
E.
Schemnitz
Schemnitz is the historical German name for Banská Štiavnica, a renowned medieval mining town in central Slovakia.
- 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: Ternitz Triple: [Neunkirchen District, hasMunicipality, Ternitz]
Generated description
Ternitz is a town and industrial municipality in the Austrian state of Lower Austria, known historically for its steel industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ternitz Target entity description: Ternitz is a town and industrial municipality in the Austrian state of Lower Austria, known historically for its steel industry.
-
A.
Mauterndorf
Mauterndorf is a historic market town in the Austrian state of Salzburg, known for its well-preserved medieval castle and alpine setting in the Lungau region.
-
B.
Tattendorf
Tattendorf is a small wine-growing village and municipality in Lower Austria, known for its vineyards and rural character.
-
C.
Kiliansdorf
Kiliansdorf is a village and district of the town of Roth in the Bavarian region of Germany.
-
D.
Gößnitz
Gößnitz is a small town in the German state of Thuringia that lies within the broader Leipzig metropolitan area.
-
E.
Schemnitz
Schemnitz is the historical German name for Banská Štiavnica, a renowned medieval mining town in central Slovakia.
- 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69effd03c6ec8190a2f0445c1f3a45b4 |
completed | April 28, 2026, 12:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a3e63bd608190bd7eb342a3ef6ce7 |
completed | May 17, 2026, 10:17 p.m. |
| NEDg | Description generation | batch_6a0a401ceb748190a4718ea4bc7ece45 |
completed | May 17, 2026, 10:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a40bc29fc8190b082a1f86b2c4907 |
completed | May 17, 2026, 10:27 p.m. |
Created at: April 16, 2026, 6:48 p.m.