Triple
T501738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Izmir |
E10416
|
entity |
| Predicate | hasMajorPort |
P942
|
FINISHED |
| Object | Port of Izmir |
E10416
|
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 Izmir | Statement: [Izmir, hasMajorPort, Port of Izmir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port of Izmir Context triple: [Izmir, hasMajorPort, Port of Izmir]
-
A.
Izmir
chosen
Izmir is a major Turkish coastal city known as an important commercial and cultural hub on the Aegean Sea.
-
B.
Trabzon
Trabzon is a historic city in northeastern Turkey that serves as a major Black Sea port and regional cultural and commercial center.
-
C.
Piraeus
Piraeus is the main port of Athens and one of the largest and busiest seaports in the Mediterranean, serving as a key hub for Greek and international maritime trade and passenger transport.
-
D.
Antalya
Antalya is a major resort city on Turkey’s Mediterranean coast, known for its beaches, historic old town, and role as a gateway to the Turkish Riviera.
-
E.
Yalova
Yalova is a small coastal city in northwestern Turkey, known for its thermal springs, seaside promenade, and proximity to Istanbul across the Sea of Marmara.
- 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_69a2e848adf881908e5e04f7af030093 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f131e2148190afd43402f505c73e |
completed | Feb. 28, 2026, 1:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4984d3a4881909b4bec4c9b7dcd03 |
completed | March 1, 2026, 7:49 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.