Triple
T9273652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sabine people |
E222890
|
entity |
| Predicate | majorSettlement |
P316
|
FINISHED |
| Object | Cures Sabini |
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 Sabini | Statement: [Sabine people, majorSettlement, Cures Sabini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cures Sabini Context triple: [Sabine people, majorSettlement, Cures Sabini]
-
A.
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.
-
B.
Cure
The Cure is a river in central France that flows through the Burgundy region before joining the Yonne.
-
C.
Panacea
Panacea is the Greek goddess of universal remedy and healing, associated with cures for all diseases.
-
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.
Sibinal
Sibinal is a highland municipality in western Guatemala’s San Marcos Department, known for its rural communities and proximity to the Tacaná volcano near the Mexican border.
- 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_69ca841ffe208190aa7bcffbef2f8379 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0788e87c81909ccda40d94cc6705 |
completed | April 1, 2026, 11:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b1f57db881908a42ad5b042d0872 |
completed | April 4, 2026, 6:38 a.m. |
Created at: March 30, 2026, 7:33 p.m.