Triple
T5256784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Idoumaia |
E118719
|
entity |
| Predicate | latinizedForm |
P2508
|
FINISHED |
| Object | Idumaea |
E21554
|
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: Idumaea | Statement: [Idoumaia, latinizedForm, Idumaea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Idumaea Context triple: [Idoumaia, latinizedForm, Idumaea]
-
A.
Idumea
chosen
Idumea was an ancient region south of Judea, inhabited by the Edomites and later integrated into the Hasmonean and Herodian Jewish realms.
-
B.
Menetes
Menetes is a genus of rodents in the squirrel family, comprising ground-dwelling squirrels native to parts of Asia.
-
C.
Menetes
Menetes is a traditional mountain village on the Greek island of Karpathos, known for its colorful houses, narrow alleys, and panoramic views over the Aegean Sea.
-
D.
Argithea
Argithea is a municipality in the mountainous region of Thessaly in central Greece, known for its traditional villages and natural landscapes.
-
E.
Norcasia
Norcasia is a small municipality in the Colombian Andes known for its lush natural landscapes and proximity to hydroelectric and ecotourism sites.
- 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_69bd446978108190bb5f9c5c23d93f88 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7ba4ecd88190800b5e4eea3abed5 |
completed | March 20, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69befe7ded18819094f86cfff458953c |
completed | March 21, 2026, 8:24 p.m. |
Created at: March 20, 2026, 1:50 p.m.