Triple
T10837237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berta |
E255792
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object |
Barta
Barta is an alternative name or variant spelling of the given name Berta, used in certain languages and cultural contexts.
|
E889283
|
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: Barta | Statement: [Berta, alternativeName, Barta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barta Context triple: [Berta, alternativeName, Barta]
-
A.
Bártfa
Bártfa is a historic town in present-day northeastern Slovakia, renowned for its well-preserved medieval center and status as a UNESCO World Heritage Site.
-
B.
Bartha
Bartha is a surname most notably borne by American actor Justin Bartha, known for roles in films like "The Hangover" and "National Treasure."
-
C.
Barcs
Barcs is a small town in southwestern Hungary near the Drava River and the Croatian border, known as a local administrative and transport hub.
-
D.
Bárdossy
Bárdossy is a Hungarian surname most notably associated with László Bárdossy, who served as Hungary’s prime minister during World War II.
-
E.
Bácska
Bácska is a historical region in the Pannonian Plain, today divided between northern Serbia and southern Hungary, known for its multicultural population and agricultural importance.
- 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: Barta Triple: [Berta, alternativeName, Barta]
Generated description
Barta is an alternative name or variant spelling of the given name Berta, used in certain languages and cultural contexts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barta Target entity description: Barta is an alternative name or variant spelling of the given name Berta, used in certain languages and cultural contexts.
-
A.
Bártfa
Bártfa is a historic town in present-day northeastern Slovakia, renowned for its well-preserved medieval center and status as a UNESCO World Heritage Site.
-
B.
Bartha
Bartha is a surname most notably borne by American actor Justin Bartha, known for roles in films like "The Hangover" and "National Treasure."
-
C.
Barcs
Barcs is a small town in southwestern Hungary near the Drava River and the Croatian border, known as a local administrative and transport hub.
-
D.
Bárdossy
Bárdossy is a Hungarian surname most notably associated with László Bárdossy, who served as Hungary’s prime minister during World War II.
-
E.
Bácska
Bácska is a historical region in the Pannonian Plain, today divided between northern Serbia and southern Hungary, known for its multicultural population and agricultural importance.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d746ff70148190b844ab92d796af6c |
completed | April 9, 2026, 6:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb12aae648190aa7c93cee60ae3ea |
completed | April 14, 2026, 9:27 p.m. |
| NEDg | Description generation | batch_69dec2534728819095b3693120772da9 |
completed | April 14, 2026, 10:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69dec79b1b548190a74312284f98551c |
completed | April 14, 2026, 11:02 p.m. |
Created at: April 8, 2026, 9:19 p.m.