Triple
T22237899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anukis |
E549638
|
entity |
| Predicate | languageVariant |
P5595
|
FINISHED |
| Object | Anqet |
—
|
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: Anqet | Statement: [Anukis, languageVariant, Anqet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anqet Context triple: [Anukis, languageVariant, Anqet]
-
A.
Anqet
chosen
Anqet is an ancient Egyptian goddess associated with the Nile’s cataracts and fertility, often depicted as a woman wearing a crown of reeds or ostrich feathers.
-
B.
Anebos
Anebos is a small mountain in the Palatinate Forest of southwestern Germany, known for the ruins of Anebos Castle near Annweiler am Trifels.
-
C.
Aranos
Aranos is a small town in southern Namibia known for its farming community and location within the arid Hardap Region.
-
D.
Anazarba
Anazarba is an ancient city in Cilicia (in present-day southern Turkey), known for its impressive Roman and Byzantine ruins and strategic location.
-
E.
Arnach
Arnach is a village and district of the spa town Bad Wurzach in the Ravensburg district of Baden-Württemberg, Germany.
- 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f13210eb9c8190bc40d06c393e0d9a |
completed | April 28, 2026, 10:17 p.m. |
Created at: April 16, 2026, 8:38 p.m.