Triple
T6025058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Numa Pompilius |
E134155
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Cures |
E225365
|
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: Cures | Statement: [Numa Pompilius, birthPlace, Cures]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cures Context triple: [Numa Pompilius, birthPlace, Cures]
-
A.
Cure
The Cure is a river in central France that flows through the Burgundy region before joining the Yonne.
-
B.
Cures Sabini
chosen
Cures Sabini was an ancient city of the Sabine people in central Italy, historically significant as a regional center and later a Roman municipium.
-
C.
Where cures begin
"Where cures begin" is the official motto of the Salk Institute for Biological Studies, encapsulating its mission to advance pioneering biomedical research that leads to new treatments and therapies.
-
D.
The Death Cure (novel)
The Death Cure is the third and final book in James Dashner’s dystopian Maze Runner series, following Thomas and his friends as they confront the truth behind WICKED and the deadly Flare virus.
-
E.
Panacea
Panacea is the Greek goddess of universal remedy and healing, associated with cures for all diseases.
- 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_69c008742a5c8190b9cb9c2787a3d8b3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04fc08c5c819085afab5b18bce4d1 |
completed | March 22, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11375b4448190ad3087b21ac67329 |
completed | March 23, 2026, 10:18 a.m. |
Created at: March 22, 2026, 4:07 p.m.