Triple
T10092372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Constanța County |
E215372
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Port of Constanța |
E770777
|
NE 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: Port of Constanța | Statement: [Constanța County, contains, Port of Constanța]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port of Constanța Context triple: [Constanța County, contains, Port of Constanța]
-
A.
Port of Constanța
chosen
The Port of Constanța is Romania’s largest seaport and a major Black Sea maritime hub for cargo, trade, and transportation.
-
B.
Constanța Naval Base
Constanța Naval Base is the main maritime military installation of Romania, serving as the central hub for its naval operations on the Black Sea.
-
C.
Port of Burgas
The Port of Burgas is Bulgaria’s largest seaport on the Black Sea, serving as a major regional hub for cargo, industry, and maritime transport.
-
D.
Varna East Port
Varna East Port is a major Bulgarian Black Sea seaport serving the city of Varna as an important hub for regional maritime trade and transport.
-
E.
Port Pivdennyi
Port Pivdennyi is a major deep-water seaport on Ukraine’s Black Sea coast, serving as a key hub for bulk cargo and international maritime trade.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca83a1eed081908b2e9580f2ebeea7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd05c3c0c8190927580717429a4e5 |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b6aecc488190a9af098f687327ed |
completed | April 5, 2026, 7:23 p.m. |
Created at: March 30, 2026, 9:01 p.m.