Triple
T17441007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Convent, Louisiana |
E424650
|
entity |
| Predicate | parish |
P2739
|
FINISHED |
| Object | St. James Parish |
—
|
NE NERFINISHED |
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: St. James Parish | Statement: [Convent, Louisiana, parish, St. James Parish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: St. James Parish Context triple: [Convent, Louisiana, parish, St. James Parish]
-
A.
St. Bernard Parish
St. Bernard Parish is a Catholic church and local faith community serving residents of West Newton.
-
B.
St. James Parish, Louisiana
chosen
St. James Parish, Louisiana is a rural parish along the Mississippi River in southeastern Louisiana, known historically for its sugarcane plantations and Creole culture.
-
C.
Clarendon Parish
Clarendon Parish is a largely rural administrative division in south-central Jamaica known for its agriculture, bauxite mining, and coastal wetlands.
-
D.
Vermilion Parish
Vermilion Parish is a coastal parish in southern Louisiana known for its Cajun culture, agriculture, and wetlands along the Gulf of Mexico.
-
E.
Plaquemines Parish
Plaquemines Parish is a coastal parish at the mouth of the Mississippi River in southeastern Louisiana, known for its oil and gas industry, fishing, and vulnerability to hurricanes and coastal erosion.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ff75538819083f77756d39a1aaa |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 5:46 a.m.