Triple
T12989208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monsieur N. |
E321852
|
entity |
| Predicate | settingLocation |
P40
|
FINISHED |
| Object | Saint Helena |
E14527
|
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: Saint Helena | Statement: [Monsieur N., settingLocation, Saint Helena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint Helena Context triple: [Monsieur N., settingLocation, Saint Helena]
-
A.
Saint Helena
chosen
Saint Helena is a remote volcanic island in the South Atlantic Ocean, best known as the place of Napoleon Bonaparte’s exile and death.
-
B.
Saint Helena
Saint Helena is a Christian saint traditionally credited with finding the True Cross and known as the mother of the Roman Emperor Constantine the Great.
-
C.
St. Helena
St. Helena is a small, historic city in California’s Napa Valley known for its wineries, vineyards, and upscale culinary and tourism scene.
-
D.
St. Helena Island
St. Helena Island is a historic sea island in South Carolina known for its rich Gullah Geechee culture, African American heritage, and coastal landscapes.
-
E.
Île Sainte-Hélène
Île Sainte-Hélène is an island in the Saint Lawrence River in Montreal, Canada, best known as a major site of Expo 67 and now home to parks, museums, and cultural attractions.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e75b9f88190a54372c2a1223a4e |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5c2df08819086d9a9107b0a6935 |
completed | May 3, 2026, 7:14 a.m. |
Created at: April 9, 2026, 8:43 p.m.