Triple
T5835432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danube region |
E129456
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Port of Constanța |
E40914
|
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: [Danube region, hasPort, Port of Constanța]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port of Constanța Context triple: [Danube region, hasPort, Port of Constanța]
-
A.
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.
-
B.
Port of Chornomorsk
The Port of Chornomorsk is a major Ukrainian Black Sea seaport and transport hub near Odesa, handling significant cargo and passenger traffic.
-
C.
Skadovsk Port
Skadovsk Port is a Ukrainian seaport on the Black Sea that serves as a regional maritime hub for cargo and passenger transport in Kherson Oblast.
-
D.
Constanța
chosen
Constanța is a major Romanian coastal city and one of the largest and most important ports on the Black Sea.
-
E.
Liman
Liman is a surname most notably associated with American film director and producer Doug Liman.
- 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_69c0084af79c81908af128ccc29983d0 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c034a358708190bfce78e7bd75db36 |
completed | March 22, 2026, 6:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a196ebb88190aea57899be954aae |
completed | March 23, 2026, 2:12 a.m. |
Created at: March 22, 2026, 3:54 p.m.