Triple
T5326206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgy Gapon |
E123191
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Beliki
Beliki is a rural locality in Russia known as the birthplace of the influential early 20th-century Orthodox priest and labor leader Georgy Gapon.
|
E511934
|
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: Beliki | Statement: [Georgy Gapon, placeOfBirth, Beliki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beliki Context triple: [Georgy Gapon, placeOfBirth, Beliki]
-
A.
Beloi
Beloi is a coastal village on Atauro Island in East Timor, known for its beaches, coral reefs, and role as a gateway for tourism and local community life.
-
B.
Odwira
Odwira is a major Akan traditional festival in Ghana that centers on purification, thanksgiving, and the celebration of ancestral heritage.
-
C.
Garliava
Garliava is a small town in central Lithuania known as a suburban community near the city of Kaunas.
-
D.
Bogrod
Bogrod is a goblin banker who works at Gringotts Wizarding Bank in the Harry Potter series.
-
E.
Bisztynek
Bisztynek is a small historic town in northern Poland, located in the Warmian-Masurian Voivodeship and known for its traditional architecture and regional cultural heritage.
- 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: Beliki Triple: [Georgy Gapon, placeOfBirth, Beliki]
Generated description
Beliki is a rural locality in Russia known as the birthplace of the influential early 20th-century Orthodox priest and labor leader Georgy Gapon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beliki Target entity description: Beliki is a rural locality in Russia known as the birthplace of the influential early 20th-century Orthodox priest and labor leader Georgy Gapon.
-
A.
Beloi
Beloi is a coastal village on Atauro Island in East Timor, known for its beaches, coral reefs, and role as a gateway for tourism and local community life.
-
B.
Odwira
Odwira is a major Akan traditional festival in Ghana that centers on purification, thanksgiving, and the celebration of ancestral heritage.
-
C.
Garliava
Garliava is a small town in central Lithuania known as a suburban community near the city of Kaunas.
-
D.
Bogrod
Bogrod is a goblin banker who works at Gringotts Wizarding Bank in the Harry Potter series.
-
E.
Bisztynek
Bisztynek is a small historic town in northern Poland, located in the Warmian-Masurian Voivodeship and known for its traditional architecture and regional cultural heritage.
- 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_69bd46477f9081909d242a327d749466 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85912d24819093cc405bebe8e870 |
completed | March 20, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf18abdcc48190bca5c7fc354c2471 |
completed | March 21, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_69bf19a73b888190a903124a9da5e172 |
completed | March 21, 2026, 10:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf19fc79148190a02c4ddf2f6abdf7 |
completed | March 21, 2026, 10:21 p.m. |
Created at: March 20, 2026, 1:59 p.m.