Triple
T15487943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Izena Island |
E377099
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object |
Izena Port
Izena Port is the main maritime gateway and ferry terminal serving Izena Island in Okinawa, Japan.
|
E1160767
|
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: Izena Port | Statement: [Izena Island, hasPort, Izena Port]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Izena Port Context triple: [Izena Island, hasPort, Izena Port]
-
A.
Mwanza Port
Mwanza Port is a major Tanzanian inland port on Lake Victoria that serves as a key hub for regional transport and trade in the Mwanza area.
-
B.
Al Lith Port
Al Lith Port is a coastal seaport in Saudi Arabia that forms part of the country’s national maritime transport and trade infrastructure.
-
C.
Sitia Port
Sitia Port is a coastal harbor and ferry terminal in the town of Sitia on the eastern side of Crete, Greece, serving both local maritime traffic and regional connections.
-
D.
Onsan Port
Onsan Port is a major industrial seaport in Ulsan, South Korea, serving as a key logistics hub for nearby heavy and petrochemical industries.
-
E.
Dekheila Port
Dekheila Port is a major commercial seaport and container terminal complex located just west of Alexandria on Egypt’s Mediterranean coast.
- 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: Izena Port Triple: [Izena Island, hasPort, Izena Port]
Generated description
Izena Port is the main maritime gateway and ferry terminal serving Izena Island in Okinawa, Japan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Izena Port Target entity description: Izena Port is the main maritime gateway and ferry terminal serving Izena Island in Okinawa, Japan.
-
A.
Mwanza Port
Mwanza Port is a major Tanzanian inland port on Lake Victoria that serves as a key hub for regional transport and trade in the Mwanza area.
-
B.
Al Lith Port
Al Lith Port is a coastal seaport in Saudi Arabia that forms part of the country’s national maritime transport and trade infrastructure.
-
C.
Sitia Port
Sitia Port is a coastal harbor and ferry terminal in the town of Sitia on the eastern side of Crete, Greece, serving both local maritime traffic and regional connections.
-
D.
Onsan Port
Onsan Port is a major industrial seaport in Ulsan, South Korea, serving as a key logistics hub for nearby heavy and petrochemical industries.
-
E.
Dekheila Port
Dekheila Port is a major commercial seaport and container terminal complex located just west of Alexandria on Egypt’s Mediterranean coast.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03faaca588190b0397bc2e27a522a |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff365d45488190b48458092b6ffead |
completed | May 9, 2026, 1:27 p.m. |
| NEDg | Description generation | batch_69ff376dac388190ab3b7e3553d2de29 |
completed | May 9, 2026, 1:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff382f1bbc8190810d0d825430f9ea |
completed | May 9, 2026, 1:35 p.m. |
Created at: April 10, 2026, 3:48 a.m.