Triple
T4844764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eduard Shevardnadze |
E108261
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Mamati
Mamati is a village in western Georgia notable as the birthplace of former Soviet and Georgian politician Eduard Shevardnadze.
|
E474030
|
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: Mamati | Statement: [Eduard Shevardnadze, placeOfBirth, Mamati]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mamati Context triple: [Eduard Shevardnadze, placeOfBirth, Mamati]
-
A.
Mēmele
Mēmele is a river in the Baltic region that serves as one of the headwaters forming Latvia’s Lielupe River.
-
B.
Mawanella
Mawanella is a town in central Sri Lanka known as a key transit point on the Colombo–Kandy road and for its surrounding rubber and tea plantations.
-
C.
Mawteni
Mawteni is an alternative Romanized spelling of "Mawtini," the famous Arabic patriotic poem and anthem widely associated with Palestinian and Iraqi national identity.
-
D.
Mugatu
Mugatu is the flamboyant, villainous fashion designer portrayed by Will Ferrell in the comedy film "Zoolander."
-
E.
Matua
Matua is a volcanic island in the central Kuril Islands chain, notable for its World War II-era Japanese military installations and strategic location in the northwest Pacific.
- 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: Mamati Triple: [Eduard Shevardnadze, placeOfBirth, Mamati]
Generated description
Mamati is a village in western Georgia notable as the birthplace of former Soviet and Georgian politician Eduard Shevardnadze.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mamati Target entity description: Mamati is a village in western Georgia notable as the birthplace of former Soviet and Georgian politician Eduard Shevardnadze.
-
A.
Mēmele
Mēmele is a river in the Baltic region that serves as one of the headwaters forming Latvia’s Lielupe River.
-
B.
Mawanella
Mawanella is a town in central Sri Lanka known as a key transit point on the Colombo–Kandy road and for its surrounding rubber and tea plantations.
-
C.
Mawteni
Mawteni is an alternative Romanized spelling of "Mawtini," the famous Arabic patriotic poem and anthem widely associated with Palestinian and Iraqi national identity.
-
D.
Mugatu
Mugatu is the flamboyant, villainous fashion designer portrayed by Will Ferrell in the comedy film "Zoolander."
-
E.
Matua
Matua is a volcanic island in the central Kuril Islands chain, notable for its World War II-era Japanese military installations and strategic location in the northwest Pacific.
- 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_69bd4409b264819085ab855f3eb5381a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d020e5c8190aa9ceb4258e713c3 |
completed | March 20, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5cd29c9c8190ab4ca5463ef99c15 |
completed | March 21, 2026, 8:54 a.m. |
| NEDg | Description generation | batch_69be5efdf88481908165609068de9273 |
completed | March 21, 2026, 9:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be5f63d5d881909c2f8bf29152903f |
completed | March 21, 2026, 9:05 a.m. |
Created at: March 20, 2026, 1:25 p.m.