Triple
T13578835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greece and Bulgaria |
E324355
|
entity |
| Predicate | shareStrategicInterestIn |
P110143
|
FINISHED |
| Object | Aegean–Black Sea connectivity |
—
|
LITERAL FINISHED |
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: Aegean–Black Sea connectivity | Statement: [Greece and Bulgaria, shareStrategicInterestIn, Aegean–Black Sea connectivity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shareStrategicInterestIn Context triple: [Greece and Bulgaria, shareStrategicInterestIn, Aegean–Black Sea connectivity]
-
A.
sharesUniverseWith
Indicates that two entities exist within the same fictional or narrative universe, implying shared continuity, setting, or canon.
-
B.
sharesMarketWith
Indicates that two entities operate in or target the same market or customer segment, implying competitive or overlapping commercial presence.
-
C.
sharesInteractionPointWith
Indicates that two entities have at least one common point or location at which they can interact or make contact with each other.
-
D.
sharesIn
Indicates that one entity holds or possesses shares or ownership stakes in another entity.
-
E.
sharesModuleWith
Indicates that two entities are associated with or participate in at least one common module.
- 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb03052088190a2b68c106059828e |
completed | April 12, 2026, 2:46 p.m. |
| PD | Predicate disambiguation | batch_69dbae161a0481909f9d3f40ca4e0ac5 |
completed | April 12, 2026, 2:37 p.m. |
| PDg | Predicate description generation | batch_69dbaf7fefa881908471f1400f813ccc |
completed | April 12, 2026, 2:43 p.m. |
Created at: April 9, 2026, 9:48 p.m.