Triple
T5336993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giordano Bruno |
E123850
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Nola |
E39229
|
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: Nola | Statement: [Giordano Bruno, placeOfBirth, Nola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nola Context triple: [Giordano Bruno, placeOfBirth, Nola]
-
A.
Nola
chosen
Nola is an ancient town in southern Italy, historically significant in Roman times and known as the place where Emperor Augustus died.
-
B.
New Orleans
New Orleans is a historic port city in southeastern Louisiana known for its vibrant jazz music, Creole cuisine, and distinctive French and Spanish-influenced architecture.
-
C.
Shreveport
Shreveport is a major city in northwestern Louisiana known for its role as a regional commercial, cultural, and transportation hub.
-
D.
Biloxi
Biloxi is a coastal Mississippi city known for its beaches, casinos, and seafood industry along the Gulf of Mexico.
-
E.
New Iberia
New Iberia is a small city in southern Louisiana, United States, known for its Cajun and Creole culture, historic architecture, and proximity to the Bayou Teche.
- 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_69bd464b07f8819095aa76577c9829e4 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85b104c081908b81236a0142e1c8 |
completed | March 20, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf33324ac08190a3785f1340097f68 |
completed | March 22, 2026, 12:09 a.m. |
Created at: March 20, 2026, 2 p.m.