Triple
T5180112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inn River |
E116897
|
entity |
| Predicate | majorCityOnRiver |
P316
|
FINISHED |
| Object |
Schwaz
Schwaz is a historic silver-mining town in the Austrian state of Tyrol, known for its medieval center and alpine setting.
|
E500192
|
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: Schwaz | Statement: [Inn River, majorCityOnRiver, Schwaz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schwaz Context triple: [Inn River, majorCityOnRiver, Schwaz]
-
A.
Blau
The Blau is a small river in the German state of Baden-Württemberg that flows through the city of Blaustein before joining the Danube.
-
B.
Schalk
Schalk is a masculine given name of Afrikaans and Dutch origin, commonly used in South Africa.
-
C.
Falben
Falben is an alternative name for the Cumans, a medieval nomadic Turkic people who inhabited the Eurasian steppe and played a significant role in Eastern European history.
-
D.
Bruhn
Bruhn is a German-origin surname borne by various notable individuals across fields such as music, sports, and academia.
-
E.
Weiss
Weiss is a common German-language surname borne by numerous notable individuals across fields such as entertainment, science, and politics.
- 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: Schwaz Triple: [Inn River, majorCityOnRiver, Schwaz]
Generated description
Schwaz is a historic silver-mining town in the Austrian state of Tyrol, known for its medieval center and alpine setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schwaz Target entity description: Schwaz is a historic silver-mining town in the Austrian state of Tyrol, known for its medieval center and alpine setting.
-
A.
Blau
The Blau is a small river in the German state of Baden-Württemberg that flows through the city of Blaustein before joining the Danube.
-
B.
Schalk
Schalk is a masculine given name of Afrikaans and Dutch origin, commonly used in South Africa.
-
C.
Falben
Falben is an alternative name for the Cumans, a medieval nomadic Turkic people who inhabited the Eurasian steppe and played a significant role in Eastern European history.
-
D.
Bruhn
Bruhn is a German-origin surname borne by various notable individuals across fields such as music, sports, and academia.
-
E.
Weiss
Weiss is a common German-language surname borne by numerous notable individuals across fields such as entertainment, science, and politics.
- 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_69bd446140f08190becb93c61158f27f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd799a322c8190b8a590cfe70761f5 |
completed | March 20, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed9553bc0819082a37a83a3edf7e8 |
completed | March 21, 2026, 5:45 p.m. |
| NEDg | Description generation | batch_69bedae9de2081909bd5e872fc0f904e |
completed | March 21, 2026, 5:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bedba410448190bffab466812daa7e |
completed | March 21, 2026, 5:55 p.m. |
Created at: March 20, 2026, 1:45 p.m.