Triple
T34859485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | tripoint of Bulgaria–Greece–Turkey |
E1004825
|
entity |
| Predicate | riverNameInBulgarian |
P41322
|
FINISHED |
| Object | Марица |
—
|
NE NERFINISHED |
How this triple was built (2 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: Марица | Statement: [tripoint of Bulgaria–Greece–Turkey, riverNameInBulgarian, Марица]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: riverNameInBulgarian Context triple: [tripoint of Bulgaria–Greece–Turkey, riverNameInBulgarian, Марица]
-
A.
lakeNameInBulgarian
Indicates that a lake has a specific name when written or spoken in the Bulgarian language.
-
B.
riverSystemNameInRomanian
Indicates that a river system is referred to by a specific name in the Romanian language.
-
C.
nameInBulgarian
chosen
Indicates that an entity is referred to by a specific name when expressed in the Bulgarian language.
-
D.
riverSystemNameInHungarian
Indicates that the predicate specifies the name of a river system as expressed in the Hungarian language.
-
E.
raceRiver
Indicates that an entity participates in a race that takes place on or along a river.
- F. None of above.
Provenance (3 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_69f76dbb678081909a247b9b5e1a73ac |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782f4f10081908f97f6d0d2dbeec7 |
completed | May 3, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69f780ff71cc8190a67e71076fbad81a |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.