Triple
T3802914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marek Edelman |
E91732
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Homel
Homel (also known as Gomel) is a major city in southeastern Belarus, situated on the Sozh River and serving as an important industrial, cultural, and historical center of the region.
|
E387612
|
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: Homel | Statement: [Marek Edelman, placeOfBirth, Homel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Homel Context triple: [Marek Edelman, placeOfBirth, Homel]
-
A.
Doma
Doma is a local government area and town in Nasarawa State, central Nigeria, known for its agrarian communities and proximity to the state capital, Lafia.
-
B.
Hausberg
Hausberg is a popular ski mountain and recreational area near Garmisch-Partenkirchen in the Bavarian Alps.
-
C.
Homma
Homma is a Japanese surname borne by various notable individuals across fields such as the military, arts, and sports.
-
D.
Hallival
Hallival is a prominent mountain peak on the Isle of Rum in Scotland, known for its rugged volcanic landscape and panoramic views over the Small Isles.
-
E.
Heden
Heden is a central district in Gothenburg, Sweden, known for its sports facilities, event venues, and open recreational spaces.
- 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: Homel Triple: [Marek Edelman, placeOfBirth, Homel]
Generated description
Homel (also known as Gomel) is a major city in southeastern Belarus, situated on the Sozh River and serving as an important industrial, cultural, and historical center of the region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Homel Target entity description: Homel (also known as Gomel) is a major city in southeastern Belarus, situated on the Sozh River and serving as an important industrial, cultural, and historical center of the region.
-
A.
Doma
Doma is a local government area and town in Nasarawa State, central Nigeria, known for its agrarian communities and proximity to the state capital, Lafia.
-
B.
Hausberg
Hausberg is a popular ski mountain and recreational area near Garmisch-Partenkirchen in the Bavarian Alps.
-
C.
Homma
Homma is a Japanese surname borne by various notable individuals across fields such as the military, arts, and sports.
-
D.
Hallival
Hallival is a prominent mountain peak on the Isle of Rum in Scotland, known for its rugged volcanic landscape and panoramic views over the Small Isles.
-
E.
Heden
Heden is a central district in Gothenburg, Sweden, known for its sports facilities, event venues, and open recreational spaces.
- 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_69aed96354f48190a768966d6bd19b04 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee7bacf2881908198a77063d15d16 |
completed | March 9, 2026, 3:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f06889c88190ab4d8da7f0dfeadd |
completed | March 14, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69b4f0e77efc8190b4459d4559261a2f |
completed | March 14, 2026, 5:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4f15cfde88190bcb2680b90f98111 |
completed | March 14, 2026, 5:25 a.m. |
Created at: March 9, 2026, 3:15 p.m.