Triple
T22570613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanxian |
E558064
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | ruan |
—
|
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: ruan | Statement: [Sanxian, relatedTo, ruan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ruan Context triple: [Sanxian, relatedTo, ruan]
-
A.
the Ran
The Ran, referring to Nissim of Gerona, was a prominent 14th-century Spanish Talmudist and halakhic authority whose rabbinic responsa and commentaries became highly influential in Jewish law.
-
B.
Ruo
Ruo is one of the small islands that make up the Hall Islands group in the Federated States of Micronesia.
-
C.
Ruan
chosen
Ruan is a masculine given name commonly used in South Africa and other regions, often of Afrikaans or Chinese origin depending on cultural context.
-
D.
Ruian
Ruian is a county-level coastal city administered by Wenzhou in Zhejiang Province, China, known for its private entrepreneurship and light manufacturing industries.
-
E.
Róng
Róng is the endonym used by the Lepcha people to refer to their own language spoken primarily in parts of India, Bhutan, and Nepal.
- 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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fad35448190b51a3dd639ca8568 |
completed | April 29, 2026, 1:32 a.m. |
Created at: April 16, 2026, 8:52 p.m.