Triple
T10025483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reitia |
E200712
|
entity |
| Predicate | attestedAs |
P31880
|
FINISHED |
| Object | Reitia |
E200712
|
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: Reitia | Statement: [Reitia, attestedAs, Reitia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reitia Context triple: [Reitia, attestedAs, Reitia]
-
A.
Reitia
chosen
Reitia is an ancient goddess venerated by the Veneti people of northeastern Italy, often linked to writing, healing, and protection.
-
B.
Reitoca
Reitoca is a municipality in southern Honduras known for its rural character and location within the Francisco Morazán Department.
-
C.
Resita
Resita is an industrial city in western Romania, historically known for its steel production and heavy machinery manufacturing.
-
D.
Rimplas
Rimplas is a small mountain village in southeastern France, known for its scenic Alpine setting and historic fortifications overlooking the Tinée Valley.
-
E.
Resigaro
Resigaro is an indigenous Arawakan language of the northwestern Amazon, traditionally spoken by a small community in the Peru–Brazil border region and now critically endangered.
- 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_69ca831c45f08190ac1505cc15076608 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcde2009081908eddda7813617df4 |
completed | April 2, 2026, 2:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d26ac2f14081908deaf3945491af78 |
completed | April 5, 2026, 1:59 p.m. |
Created at: March 30, 2026, 8:53 p.m.