Triple
T1836819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gustav Mahler |
E41085
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Kaliště
Kaliště is a small village in the Czech Republic best known as the birthplace of composer Gustav Mahler.
|
E205254
|
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: Kaliště | Statement: [Gustav Mahler, placeOfBirth, Kaliště]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaliště Context triple: [Gustav Mahler, placeOfBirth, Kaliště]
-
A.
Vávrová
Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
-
B.
Koshice
Košice is the second-largest city in Slovakia, known for its well-preserved medieval old town and status as an important cultural and economic center in the country.
-
C.
Dřevnice
Dřevnice is a river in the Zlín Region of the Czech Republic that flows through the city of Zlín and is a tributary of the Morava River.
-
D.
Kraslava
Kraslava is a small town in southeastern Latvia known for its historic architecture and scenic location near the borders with Belarus and Lithuania.
-
E.
Kopechne
Kopechne is the surname of Mary Jo Kopechne, the young political campaign specialist whose death in the 1969 Chappaquiddick incident became a major American political scandal.
- 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: Kaliště Triple: [Gustav Mahler, placeOfBirth, Kaliště]
Generated description
Kaliště is a small village in the Czech Republic best known as the birthplace of composer Gustav Mahler.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kaliště Target entity description: Kaliště is a small village in the Czech Republic best known as the birthplace of composer Gustav Mahler.
-
A.
Vávrová
Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
-
B.
Koshice
Košice is the second-largest city in Slovakia, known for its well-preserved medieval old town and status as an important cultural and economic center in the country.
-
C.
Dřevnice
Dřevnice is a river in the Zlín Region of the Czech Republic that flows through the city of Zlín and is a tributary of the Morava River.
-
D.
Kraslava
Kraslava is a small town in southeastern Latvia known for its historic architecture and scenic location near the borders with Belarus and Lithuania.
-
E.
Kopechne
Kopechne is the surname of Mary Jo Kopechne, the young political campaign specialist whose death in the 1969 Chappaquiddick incident became a major American political scandal.
- 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_69a88647f9388190909bc36e795bdaec |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0380a4c81909a2ad0bfd97c884a |
completed | March 7, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adc9b6dc9481908a83e60aee326bc4 |
completed | March 8, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69adcaef04e88190a88f789a6370bafb |
completed | March 8, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adcb8e053c819082a3d4b36afe35be |
completed | March 8, 2026, 7:18 p.m. |
Created at: March 4, 2026, 7:33 p.m.