Triple
T12776052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porvoo |
E305374
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Porvořany
Porvořany is a small municipality in the Czech Republic known in part for its international town-twinning partnership with Porvoo, Finland.
|
E1097488
|
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: Porvořany | Statement: [Porvoo, hasTwinTown, Porvořany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Porvořany Context triple: [Porvoo, hasTwinTown, Porvořany]
-
A.
Vávrová
Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
-
B.
Pavlovice
Pavlovice is a small village in the Plzeň Region of the Czech Republic, known as one of the rural municipalities within the Tachov District.
-
C.
Říčany
Říčany is a town in the Czech Republic, located just southeast of Prague and known as a popular residential and commuter suburb with historical roots.
-
D.
Svitavy
Svitavy is a town in the Czech Republic best known as the birthplace of Oskar Schindler, the industrialist who saved hundreds of Jews during the Holocaust.
-
E.
Malé Poříčí
Malé Poříčí is a small village and administrative part of the town of Náchod in the Hradec Králové Region of the Czech Republic.
- 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: Porvořany Triple: [Porvoo, hasTwinTown, Porvořany]
Generated description
Porvořany is a small municipality in the Czech Republic known in part for its international town-twinning partnership with Porvoo, Finland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Porvořany Target entity description: Porvořany is a small municipality in the Czech Republic known in part for its international town-twinning partnership with Porvoo, Finland.
-
A.
Vávrová
Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
-
B.
Pavlovice
Pavlovice is a small village in the Plzeň Region of the Czech Republic, known as one of the rural municipalities within the Tachov District.
-
C.
Říčany
Říčany is a town in the Czech Republic, located just southeast of Prague and known as a popular residential and commuter suburb with historical roots.
-
D.
Svitavy
Svitavy is a town in the Czech Republic best known as the birthplace of Oskar Schindler, the industrialist who saved hundreds of Jews during the Holocaust.
-
E.
Malé Poříčí
Malé Poříčí is a small village and administrative part of the town of Náchod in the Hradec Králové Region of the Czech Republic.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df6b3c88190b0bbe70de8ddcbf3 |
completed | April 10, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd54f264d48190be636796d694ceb1 |
completed | May 8, 2026, 3:13 a.m. |
| NEDg | Description generation | batch_69fd570e482881909532000eebd169d1 |
completed | May 8, 2026, 3:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd57710f648190a1344ac1363acce1 |
completed | May 8, 2026, 3:24 a.m. |
Created at: April 9, 2026, 5:29 p.m.