Triple
T17000934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gustav Klutsis |
E412439
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object |
Rūjiena
Rūjiena is a small town in northern Latvia known for its historical charm and traditional Latvian culture.
|
E1245284
|
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: Rūjiena | Statement: [Gustav Klutsis, birthPlace, Rūjiena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rūjiena Context triple: [Gustav Klutsis, birthPlace, Rūjiena]
-
A.
Jāņi
Jāņi is a major Latvian midsummer festival celebrating the summer solstice with folk songs, bonfires, wreaths, and traditional foods.
-
B.
Rupšienė
Rupšienė is a Lithuanian surname most notably borne by Angelė Rupšienė, a prominent former Lithuanian and Soviet basketball player.
-
C.
Vecrīga
Vecrīga is the historic old town of Riga, Latvia, known for its medieval architecture, cobblestone streets, and status as a UNESCO World Heritage Site.
-
D.
Mazā Jauniela
Mazā Jauniela is a small historic street in Riga’s Old Town, known for its picturesque medieval architecture and cobblestone charm.
-
E.
Latka Gravas
Latka Gravas is a lovable, eccentric immigrant mechanic known for his childlike innocence and quirky speech on the sitcom "Taxi."
- 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: Rūjiena Triple: [Gustav Klutsis, birthPlace, Rūjiena]
Generated description
Rūjiena is a small town in northern Latvia known for its historical charm and traditional Latvian culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rūjiena Target entity description: Rūjiena is a small town in northern Latvia known for its historical charm and traditional Latvian culture.
-
A.
Jāņi
Jāņi is a major Latvian midsummer festival celebrating the summer solstice with folk songs, bonfires, wreaths, and traditional foods.
-
B.
Rupšienė
Rupšienė is a Lithuanian surname most notably borne by Angelė Rupšienė, a prominent former Lithuanian and Soviet basketball player.
-
C.
Vecrīga
Vecrīga is the historic old town of Riga, Latvia, known for its medieval architecture, cobblestone streets, and status as a UNESCO World Heritage Site.
-
D.
Mazā Jauniela
Mazā Jauniela is a small historic street in Riga’s Old Town, known for its picturesque medieval architecture and cobblestone charm.
-
E.
Latka Gravas
Latka Gravas is a lovable, eccentric immigrant mechanic known for his childlike innocence and quirky speech on the sitcom "Taxi."
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d37d9f9081909aef52426d88940d |
completed | April 18, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc1e2f708190999f6fab16fdabe8 |
completed | May 10, 2026, 7:27 p.m. |
| NEDg | Description generation | batch_6a0114d68c8481909111bfab22882bb2 |
completed | May 10, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0118ba68408190b242154c40461f21 |
completed | May 10, 2026, 11:46 p.m. |
Created at: April 10, 2026, 5:32 a.m.