Triple
T19788156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Žepa |
E475332
|
entity |
| Predicate | locatedInMunicipality |
P40
|
FINISHED |
| Object |
Rogatica
Rogatica is a small town and municipality in eastern Bosnia and Herzegovina, known for its mountainous surroundings and proximity to the Drina River region.
|
E1396038
|
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: Rogatica | Statement: [Žepa, locatedInMunicipality, Rogatica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rogatica Context triple: [Žepa, locatedInMunicipality, Rogatica]
-
A.
Rogasen
Rogasen is a locality historically associated with the birthplace of the renowned Talmudic scholar and lexicographer Marcus Jastrow.
-
B.
Reola
Reola is a village in Tartu County, Estonia, situated just south of the city of Tartu.
-
C.
Dagonet
Dagonet is the loyal and self-sacrificing knight of the Round Table in the 2004 film "King Arthur," portrayed as a fierce warrior and close companion to Arthur and his fellow knights.
-
D.
Ragalna
Ragalna is a small Italian town on the slopes of Mount Etna in Sicily, known for its volcanic landscapes and agricultural traditions.
-
E.
Longido
Longido is a town in northern Tanzania that serves as a local center near Mount Longido and the Kenyan border within the Arusha Region.
- 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: Rogatica Triple: [Žepa, locatedInMunicipality, Rogatica]
Generated description
Rogatica is a small town and municipality in eastern Bosnia and Herzegovina, known for its mountainous surroundings and proximity to the Drina River region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rogatica Target entity description: Rogatica is a small town and municipality in eastern Bosnia and Herzegovina, known for its mountainous surroundings and proximity to the Drina River region.
-
A.
Rogasen
Rogasen is a locality historically associated with the birthplace of the renowned Talmudic scholar and lexicographer Marcus Jastrow.
-
B.
Reola
Reola is a village in Tartu County, Estonia, situated just south of the city of Tartu.
-
C.
Dagonet
Dagonet is the loyal and self-sacrificing knight of the Round Table in the 2004 film "King Arthur," portrayed as a fierce warrior and close companion to Arthur and his fellow knights.
-
D.
Ragalna
Ragalna is a small Italian town on the slopes of Mount Etna in Sicily, known for its volcanic landscapes and agricultural traditions.
-
E.
Longido
Longido is a town in northern Tanzania that serves as a local center near Mount Longido and the Kenyan border within the Arusha Region.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65389c9ac81909e61b3cbb9213e72 |
completed | April 20, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07c4fbbdac81909bb56c3bbd80cb92 |
completed | May 16, 2026, 1:14 a.m. |
| NEDg | Description generation | batch_6a07c5aea8948190b6e5bbcea8053478 |
completed | May 16, 2026, 1:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07c6846fb481908e1d5aae2c53a7ba |
completed | May 16, 2026, 1:21 a.m. |
Created at: April 10, 2026, 1:49 p.m.