Triple
T6095159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orleans Parish |
E135858
|
entity |
| Predicate | parishNumberInLouisiana |
P68090
|
FINISHED |
| Object | 71 |
—
|
LITERAL 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: 71 | Statement: [Orleans Parish, parishNumberInLouisiana, 71]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parishNumberInLouisiana Context triple: [Orleans Parish, parishNumberInLouisiana, 71]
-
A.
numberOfParishes
Indicates the total count of parishes associated with a given entity.
-
B.
parishIncludes
Indicates that a parish geographically or administratively contains or encompasses another entity or area.
-
C.
parish
Indicates that an entity is administratively or ecclesiastically associated with a particular parish.
-
D.
hasNumberOfChurches
Indicates the relationship that specifies how many churches are associated with a given entity.
-
E.
numberPerCounty
Indicates the quantity or count of something associated with each individual county.
- F. None of above. chosen
Provenance (4 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_69c0087cd3c48190b459848c72d84eb1 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05a963bac8190bc0c33fef187875c |
completed | March 22, 2026, 9:09 p.m. |
| PD | Predicate disambiguation | batch_69c049f5ac988190b62ba565153aaa35 |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8e3f2c8190be459ca02f9b315a |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:12 p.m.