Triple
T8397281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Menua |
E198085
|
entity |
| Predicate | alternateName |
P39
|
FINISHED |
| Object | Menuas |
E198085
|
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: Menuas | Statement: [Menua, alternateName, Menuas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Menuas Context triple: [Menua, alternateName, Menuas]
-
A.
Menua
chosen
Menua was a prominent king of the ancient kingdom of Urartu, known for expanding its territory and developing extensive irrigation and fortification projects.
-
B.
Menuhin
Menuhin is a surname most famously associated with Yehudi Menuhin, the renowned 20th-century violinist and conductor.
-
C.
Balado
Balado is a small settlement in Kinross-shire, Scotland, best known for its former NATO communications base and as the long-time site of the T in the Park music festival.
-
D.
Ma Kai
Ma Kai is a Chinese politician who served as a Vice Premier of the State Council and played a key role in the country’s economic and financial policymaking.
-
E.
Man’en
Man’en was a short Japanese era of the late Edo period that followed Ansei and preceded Bunkyū during the reign of Emperor Kōmei.
- 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_69ca82f816bc8190ab321c07d72208c1 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb818893348190a6ea2ff6a2e3e491 |
completed | March 31, 2026, 8:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce02e129bc819081e6ea2dd43becba |
completed | April 2, 2026, 5:47 a.m. |
Created at: March 30, 2026, 6:04 p.m.