Triple
T23390696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yangluo Port |
E594007
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Yangluo |
—
|
NE NERFINISHED |
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: Yangluo | Statement: [Yangluo Port, locatedIn, Yangluo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yangluo Context triple: [Yangluo Port, locatedIn, Yangluo]
-
A.
Yangluo
chosen
Yangluo is a town in Wuhan, Hubei Province, China, known as an industrial and port area along the Yangtze River.
-
B.
Ronglan
Ronglan is a village and railway stop in Levanger municipality in Trøndelag county, Norway.
-
C.
Lingzhao
Lingzhao is the given name of Zhou Lingzhao, a notable Chinese artist and designer known for his contributions to modern Chinese visual culture.
-
D.
Yanshou
Yanshou was a prominent 10th-century Chinese Chan (Zen) Buddhist monk and scholar known for synthesizing various Buddhist traditions and emphasizing the unity of different paths to enlightenment.
-
E.
Yūgao
Yūgao is a fragile, lower-ranking court lady and one of Hikaru Genji’s most tragic early lovers in The Tale of Genji, whose mysterious death deeply affects him.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d2754fc819085deea939bde60ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a49bdfec8190afa592c66660c279 |
completed | April 29, 2026, 6:26 a.m. |
Created at: April 17, 2026, 5:35 p.m.