Triple
T35548519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turkey–Georgia border |
E1027287
|
entity |
| Predicate | predecessorBorderWith |
P195516
|
FINISHED |
| Object | Soviet Union |
—
|
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: Soviet Union | Statement: [Turkey–Georgia border, predecessorBorderWith, Soviet Union]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predecessorBorderWith Context triple: [Turkey–Georgia border, predecessorBorderWith, Soviet Union]
-
A.
successorBorder
Indicates that one entity’s border directly follows or replaces another entity’s border in a sequence or progression.
-
B.
predecessorArea
Indicates that one area previously existed or was defined before another area in a sequence or versioning of areas.
-
C.
predecessorColor
Indicates that one entity has the color that immediately precedes the color of another entity in a defined sequence or ordering.
-
D.
bearerPredecessor
Indicates that one entity previously held a role, title, or position that is now held by another entity, establishing a predecessor-successor relationship between them.
-
E.
predecessorBinding
Indicates that one binding or assignment directly precedes and provides context or input for another binding in a sequence or dependency chain.
- F. None of above. chosen
Provenance (4 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_69f76e008ba08190927acd8e5e0344c8 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fdd5fba5048190b7d430ae2054a1fd |
completed | May 8, 2026, 12:24 p.m. |
| PD | Predicate disambiguation | batch_69fdd35f76f88190a1854ea27132f9c7 |
completed | May 8, 2026, 12:13 p.m. |
| PDg | Predicate description generation | batch_69fdd5faea908190a17d77e050362ef5 |
completed | May 8, 2026, 12:24 p.m. |
Created at: May 3, 2026, 4:04 p.m.