Triple
T6553887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lianyungang |
E152396
|
entity |
| Predicate | hasSeaport |
P3007
|
FINISHED |
| Object | Lianyungang Port |
E503263
|
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: Lianyungang Port | Statement: [Lianyungang, hasSeaport, Lianyungang Port]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lianyungang Port Context triple: [Lianyungang, hasSeaport, Lianyungang Port]
-
A.
Donggang Port
Donggang Port is a major fishing and transportation harbor in southern Taiwan known for its seafood markets and access to nearby offshore islands.
-
B.
Port of Lianyungang
chosen
The Port of Lianyungang is a major Chinese seaport on the Yellow Sea that serves as a key logistics and trade hub linking eastern China with Central Asia and Europe.
-
C.
Jinzhou Port
Jinzhou Port is a major seaport in northeastern China that serves as an important hub for regional trade and maritime transportation.
-
D.
Yingkou Port
Yingkou Port is a major seaport in northeastern China that serves as a key maritime gateway for Liaoning Province and the broader Northeast Asia region.
-
E.
Yantai Port
Yantai Port is a major seaport city and shipping hub on the Bohai Sea coast in northeastern Shandong Province, China.
- 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_69c688058d6881908c19b309cc55dbfa |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae0847d88190b38f9d7dba0faae1 |
completed | March 27, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f784b8288190bf3778721fad4eb1 |
completed | March 27, 2026, 9:32 p.m. |
Created at: March 27, 2026, 1:51 p.m.