Triple
T18395263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bečkerek |
E449850
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Becicherecu Mare
Becicherecu Mare is a commune in Timiș County, western Romania, known as a rural settlement near the city of Timișoara.
|
E1322195
|
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: Becicherecu Mare | Statement: [Bečkerek, hasAlternativeName, Becicherecu Mare]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Becicherecu Mare Context triple: [Bečkerek, hasAlternativeName, Becicherecu Mare]
-
A.
Sânnicolau Mare
Sânnicolau Mare is a town in western Romania, near the Hungarian border, known for its multicultural heritage and historical ties to the Banat region.
-
B.
Someșul Mare
Someșul Mare is a river in northwestern Romania that forms one of the main headwaters of the Someș (Szamos) River.
-
C.
Șomuzul Mare
Șomuzul Mare is a river in northeastern Romania that serves as a left-bank tributary of the Prut River.
-
D.
Cumbarjua
Cumbarjua is a legislative assembly constituency located in the North Goa district of the Indian state of Goa.
-
E.
Crișul Negru
Crișul Negru is a river in western Romania and eastern Hungary, known as one of the three Criș rivers that drain the Crișana region into the Körös and ultimately the Tisza.
- 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: Becicherecu Mare Triple: [Bečkerek, hasAlternativeName, Becicherecu Mare]
Generated description
Becicherecu Mare is a commune in Timiș County, western Romania, known as a rural settlement near the city of Timișoara.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Becicherecu Mare Target entity description: Becicherecu Mare is a commune in Timiș County, western Romania, known as a rural settlement near the city of Timișoara.
-
A.
Sânnicolau Mare
Sânnicolau Mare is a town in western Romania, near the Hungarian border, known for its multicultural heritage and historical ties to the Banat region.
-
B.
Someșul Mare
Someșul Mare is a river in northwestern Romania that forms one of the main headwaters of the Someș (Szamos) River.
-
C.
Șomuzul Mare
Șomuzul Mare is a river in northeastern Romania that serves as a left-bank tributary of the Prut River.
-
D.
Cumbarjua
Cumbarjua is a legislative assembly constituency located in the North Goa district of the Indian state of Goa.
-
E.
Crișul Negru
Crișul Negru is a river in western Romania and eastern Hungary, known as one of the three Criș rivers that drain the Crișana region into the Körös and ultimately the Tisza.
- 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e51845d6708190bc96ec801e21b7a3 |
completed | April 19, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03e240976c8190bcdeb3913cc32336 |
completed | May 13, 2026, 2:30 a.m. |
| NEDg | Description generation | batch_6a03e2e51660819085ec36e697e94e6a |
completed | May 13, 2026, 2:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03e39ae800819082963203b07d9042 |
completed | May 13, 2026, 2:36 a.m. |
Created at: April 10, 2026, 10:46 a.m.