Triple
T3196002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treaty of San Ildefonso (1800) |
E66935
|
entity |
| Predicate | legalStatusOfLouisiana |
P34336
|
FINISHED |
| Object | returned to French control |
—
|
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: returned to French control | Statement: [Treaty of San Ildefonso (1800), legalStatusOfLouisiana, returned to French control]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusOfLouisiana Context triple: [Treaty of San Ildefonso (1800), legalStatusOfLouisiana, returned to French control]
-
A.
tier2StateLawStatus
Indicates the legal status or condition of something as defined by a second-level (tier 2) state law or regulatory framework.
-
B.
statusInUnitedStates
Indicates the legal or official standing that an entity holds within the jurisdiction of the United States.
-
C.
stateLawAtIssue
Indicates that a particular state law is the subject of dispute, analysis, or determination in a given legal context or case.
-
D.
statehoodStatus
chosen
Indicates the legal or political condition of an entity regarding whether, how, or to what extent it is recognized or functions as a state.
-
E.
legalStatusVariesBy
Indicates that the legal status of something differs depending on a specified jurisdiction, context, or set of conditions.
- F. None of above.
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_69ad8588ba18819086a10951c32ecb80 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada7177b488190b7a1b40ff3fae15f |
completed | March 8, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_69ad9e05e4f48190adbe4366cdba2349 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:07 p.m.