Triple
T2343930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Paris |
E45087
|
entity |
| Predicate | managingAuthority |
P9686
|
FINISHED |
| Object | Haropa Port |
E240058
|
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: Haropa Port | Statement: [Port of Paris, managingAuthority, Haropa Port]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haropa Port Context triple: [Port of Paris, managingAuthority, Haropa Port]
-
A.
Haropa Port
chosen
Haropa Port is a major French port complex and logistics hub that unites the ports of Le Havre, Rouen, and Paris along the Seine corridor.
-
B.
Izumiotsu Port
Izumiotsu Port is a commercial seaport in Izumiotsu, Osaka Prefecture, Japan, serving as a regional hub for maritime trade and logistics along Osaka Bay.
-
C.
Dekheila Port
Dekheila Port is a major commercial seaport and container terminal complex located just west of Alexandria on Egypt’s Mediterranean coast.
-
D.
Tien Sa Port
Tien Sa Port is a major deep-water seaport in Da Nang, Vietnam, serving as a key hub for cargo shipping and cruise tourism in the central region.
-
E.
Port of Naha
The Port of Naha is a major seaport and transportation hub in Okinawa, Japan, serving as a key gateway for passenger ferries, cargo shipping, and regional trade in the Ryukyu Islands.
- 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_69a88917935081909b755dbf38e81024 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc6afe38c81909deb1de2a1c4eda9 |
completed | March 7, 2026, 6:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae96253f0c81908b866c656c3f5bea |
completed | March 9, 2026, 9:43 a.m. |
Created at: March 4, 2026, 7:52 p.m.