Triple
T21453414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhamnusia |
E529274
|
entity |
| Predicate | cultCenter |
P9995
|
FINISHED |
| Object | Rhamnous |
—
|
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: Rhamnous | Statement: [Rhamnusia, cultCenter, Rhamnous]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rhamnous Context triple: [Rhamnusia, cultCenter, Rhamnous]
-
A.
Rhamnous
chosen
Rhamnous was an ancient fortified coastal deme of Attica in Greece, known for its sanctuary of Nemesis and strategic position overlooking the Euboean Strait.
-
B.
Shikitsu
Shikitsu is a notable district within Naniwa-ku in Osaka, Japan, known for its urban character and local commercial activity.
-
C.
Rhamnusia
Rhamnusia is an epithet of the Greek goddess Nemesis emphasizing her role as the divine personification of retribution worshipped at her sanctuary in Rhamnous, Attica.
-
D.
Clausena
Clausena is a genus of flowering plants in the citrus family known for its aromatic shrubs and trees, some of which are used in traditional medicine and as spices.
-
E.
Oestrum
Oestrum is a district or locality within the town of Rheinhausen in 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d50b88819081a771596d0a2b2b |
completed | April 23, 2026, 9:43 a.m. |
Created at: April 16, 2026, 6:07 p.m.