Triple
T11179578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vierzehn Nothelfer |
E264501
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Saint Denis |
E125565
|
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 Denis | Statement: [Vierzehn Nothelfer, hasMember, Saint Denis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint Denis Context triple: [Vierzehn Nothelfer, hasMember, Saint Denis]
-
A.
Saint Denis of Paris
chosen
Saint Denis of Paris is a 3rd-century Christian martyr and first bishop of Paris, traditionally venerated as the city's patron saint.
-
B.
Saint Germain of Paris
Saint Germain of Paris was a 6th-century Bishop of Paris venerated as a saint for his piety, charity, and influence on the early Frankish church.
-
C.
Saint Severin of Paris
Saint Severin of Paris was a 6th-century hermit and confessor venerated as a patron saint of Paris, known for his piety and miracles.
-
D.
Saint-Denis
Saint-Denis is a northern suburb of Paris known for its historic basilica, diverse population, and major sports venues including the Stade de France.
-
E.
Saint-Denis
Saint-Denis is the largest city and administrative, economic, and cultural center of the French overseas department of Réunion in the Indian Ocean.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e899c6288190b39e090fa9cdc883 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4839eeaac8190826007ca126ed491 |
completed | April 19, 2026, 7:26 a.m. |
Created at: April 8, 2026, 9:29 p.m.