Triple
T317830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Sea |
E7745
|
entity |
| Predicate | hasMajorPort |
P942
|
FINISHED |
| Object |
Samsun
Samsun is a major Turkish port city on the Black Sea coast, known as an important regional hub for maritime trade and industry.
|
E40915
|
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: Samsun | Statement: [Black Sea, hasMajorPort, Samsun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samsun Context triple: [Black Sea, hasMajorPort, Samsun]
-
A.
Bursa
Bursa is a major city in northwestern Turkey known historically as the first capital of the Ottoman Empire and today as an important industrial and cultural center.
-
B.
Konya
Konya is a major city in central Anatolia known for its rich Seljuk heritage and as the home of the Sufi mystic Rumi and the Whirling Dervishes.
-
C.
Izmir
Izmir is a major Turkish coastal city known as an important commercial and cultural hub on the Aegean Sea.
-
D.
Gaziantep
Gaziantep is a major city in southeastern Turkey known for its rich history, cultural heritage, and renowned pistachio-based cuisine, especially baklava.
-
E.
Ankara
Ankara is the political and administrative center of Turkey, known for hosting the country’s government institutions and foreign embassies.
- 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: Samsun Triple: [Black Sea, hasMajorPort, Samsun]
Generated description
Samsun is a major Turkish port city on the Black Sea coast, known as an important regional hub for maritime trade and industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Samsun Target entity description: Samsun is a major Turkish port city on the Black Sea coast, known as an important regional hub for maritime trade and industry.
-
A.
Bursa
Bursa is a major city in northwestern Turkey known historically as the first capital of the Ottoman Empire and today as an important industrial and cultural center.
-
B.
Konya
Konya is a major city in central Anatolia known for its rich Seljuk heritage and as the home of the Sufi mystic Rumi and the Whirling Dervishes.
-
C.
Izmir
Izmir is a major Turkish coastal city known as an important commercial and cultural hub on the Aegean Sea.
-
D.
Gaziantep
Gaziantep is a major city in southeastern Turkey known for its rich history, cultural heritage, and renowned pistachio-based cuisine, especially baklava.
-
E.
Ankara
Ankara is the political and administrative center of Turkey, known for hosting the country’s government institutions and foreign embassies.
- 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_69a2e7e7af7881908890039d6be4e9b8 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ea67b7588190be394a56498758b6 |
completed | Feb. 28, 2026, 1:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3c8b8d7d88190b43f7b6b0289445f |
completed | March 1, 2026, 5:03 a.m. |
| NEDg | Description generation | batch_69a3c964b7a48190afa7cada4a499739 |
completed | March 1, 2026, 5:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3c9bc3eec81909e6d1b7af6cf7d58 |
completed | March 1, 2026, 5:08 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.