Triple
T5617041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Xiamen |
E147502
|
entity |
| Predicate | UNLocode |
P1800
|
FINISHED |
| Object |
CNXMN
CNXMN is the UN/LOCODE identifier for the Port of Xiamen, a major seaport and shipping hub in southeastern China.
|
E534054
|
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: CNXMN | Statement: [Port of Xiamen, UNLocode, CNXMN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CNXMN Context triple: [Port of Xiamen, UNLocode, CNXMN]
-
A.
CN-XJ
CN-XJ is the ISO 3166-2 code representing the Xinjiang Uyghur Autonomous Region in northwest China.
-
B.
Chongxin
Chongxin is the Chinese given name of Joe Tsai, the Taiwanese-Canadian co-founder and executive vice chairman of Alibaba Group.
-
C.
Xinjing
Xinjing was the capital city of the Japanese puppet state of Manchukuo in northeastern China during the 1930s and early 1940s.
-
D.
CN-HL
CN-HL is the ISO 3166-2 subdivision code assigned to Heilongjiang Province in northeastern China.
-
E.
Jixi
Jixi is a historic county-level city in Anhui Province, China, known for its traditional Huizhou culture, architecture, and scenic mountainous landscapes.
- 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: CNXMN Triple: [Port of Xiamen, UNLocode, CNXMN]
Generated description
CNXMN is the UN/LOCODE identifier for the Port of Xiamen, a major seaport and shipping hub in southeastern China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CNXMN Target entity description: CNXMN is the UN/LOCODE identifier for the Port of Xiamen, a major seaport and shipping hub in southeastern China.
-
A.
CN-XJ
CN-XJ is the ISO 3166-2 code representing the Xinjiang Uyghur Autonomous Region in northwest China.
-
B.
Chongxin
Chongxin is the Chinese given name of Joe Tsai, the Taiwanese-Canadian co-founder and executive vice chairman of Alibaba Group.
-
C.
Xinjing
Xinjing was the capital city of the Japanese puppet state of Manchukuo in northeastern China during the 1930s and early 1940s.
-
D.
CN-HL
CN-HL is the ISO 3166-2 subdivision code assigned to Heilongjiang Province in northeastern China.
-
E.
Jixi
Jixi is a historic county-level city in Anhui Province, China, known for its traditional Huizhou culture, architecture, and scenic mountainous landscapes.
- 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_69c00905d4588190bd967842bbcf2219 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c021dc04c081909f36e40394e7c955 |
completed | March 22, 2026, 5:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0287b14708190bc246e982896ad27 |
completed | March 22, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_69c03f8c1a3081908f9d03a6c51d69f0 |
completed | March 22, 2026, 7:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0404f0a3081908850794f9a5cea40 |
completed | March 22, 2026, 7:17 p.m. |
Created at: March 22, 2026, 3:40 p.m.