Triple
T15561457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viola sororia |
E371007
|
entity |
| Predicate | canNaturalizeIn |
P119187
|
FINISHED |
| Object | lawns |
—
|
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: lawns | Statement: [Viola sororia, canNaturalizeIn, lawns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canNaturalizeIn Context triple: [Viola sororia, canNaturalizeIn, lawns]
-
A.
countryOfNaturalization
Indicates that an entity became a citizen of the specified country through the legal process of naturalization.
-
B.
acquireCitizenshipBy
Indicates the process or means by which an entity obtains or is granted citizenship through a specific method, action, or legal basis.
-
C.
laterCitizenship
Indicates that an entity acquired citizenship in a country or polity at a later point in time, after some earlier status or affiliation.
-
D.
mayHoldCitizenshipOf
Indicates that an entity is allowed or eligible to possess citizenship status of a specified country or jurisdiction.
-
E.
naturalisationRequirement
Indicates the conditions or criteria that must be met for an individual to acquire citizenship through naturalisation.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ddb4c0c81909b3f4c75c91f7f3f |
completed | April 16, 2026, 2:47 a.m. |
| PD | Predicate disambiguation | batch_69deda7e6e748190b29ccce23298afef |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f05f708190850f1d8782e132b0 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:09 a.m.