Triple
T2422684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dobruja |
E53452
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Mangalia
Mangalia is a Romanian Black Sea coastal resort town known for its ancient history, beaches, and spa tourism.
|
E265132
|
NE FINISHED |
How this triple was built (4 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: Mangalia | Statement: [Dobruja, containsCity, Mangalia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mangalia Context triple: [Dobruja, containsCity, Mangalia]
-
A.
Dubăsari
Dubăsari is a town in the disputed region of Transnistria, internationally recognized as part of Moldova, known for its strategic location and hydroelectric dam on the Dniester River.
-
B.
Sighetu Marmației
Sighetu Marmației is a town in northern Romania’s Maramureș region, known as the birthplace of Nobel laureate and Holocaust survivor Elie Wiesel.
-
C.
Târgoviște
Târgoviște is a historic city in southern Romania, known as a former Wallachian capital and the site where Nicolae Ceaușescu was executed in 1989.
-
D.
Pitești
Pitești is a city in southern Romania, known as an important industrial and transportation hub and the capital of Argeș County.
-
E.
Satu Mare
Satu Mare is a city in northwestern Romania near the Hungarian border, known as a regional economic and cultural center with a diverse ethnic heritage.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mangalia Triple: [Dobruja, containsCity, Mangalia]
Generated description
Mangalia is a Romanian Black Sea coastal resort town known for its ancient history, beaches, and spa tourism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mangalia Target entity description: Mangalia is a Romanian Black Sea coastal resort town known for its ancient history, beaches, and spa tourism.
-
A.
Dubăsari
Dubăsari is a town in the disputed region of Transnistria, internationally recognized as part of Moldova, known for its strategic location and hydroelectric dam on the Dniester River.
-
B.
Sighetu Marmației
Sighetu Marmației is a town in northern Romania’s Maramureș region, known as the birthplace of Nobel laureate and Holocaust survivor Elie Wiesel.
-
C.
Târgoviște
Târgoviște is a historic city in southern Romania, known as a former Wallachian capital and the site where Nicolae Ceaușescu was executed in 1989.
-
D.
Pitești
Pitești is a city in southern Romania, known as an important industrial and transportation hub and the capital of Argeș County.
-
E.
Satu Mare
Satu Mare is a city in northwestern Romania near the Hungarian border, known as a regional economic and cultural center with a diverse ethnic heritage.
- F. None of above. chosen
Provenance (5 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_69ab495c44d48190b7235b23719bc3f6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc972934481909e05bd6f31162f9d |
completed | March 7, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebf5b1bb8819095920d702c180d3f |
completed | March 9, 2026, 12:38 p.m. |
| NEDg | Description generation | batch_69aec338adf481908492b99d6e949bf8 |
completed | March 9, 2026, 12:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aec3d410048190b908e883442b4ac2 |
completed | March 9, 2026, 12:57 p.m. |
Created at: March 6, 2026, 9:42 p.m.