Triple
T5953258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolf Haven International |
E132448
|
entity |
| Predicate | nonprofitSlogan |
P66965
|
FINISHED |
| Object | Sanctuary for captive-born wolves |
—
|
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: Sanctuary for captive-born wolves | Statement: [Wolf Haven International, nonprofitSlogan, Sanctuary for captive-born wolves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nonprofitSlogan Context triple: [Wolf Haven International, nonprofitSlogan, Sanctuary for captive-born wolves]
-
A.
nonprofitType
Indicates the specific category or classification of a nonprofit organization based on its legal or functional type.
-
B.
nonProfitContext
Indicates that the relationship or action occurs within, is associated with, or is specifically relevant to a nonprofit or charitable organizational context.
-
C.
sloganCategory
Indicates that a slogan is classified as belonging to a particular category or type.
-
D.
isNonProfitProjectOf
Indicates that a project operates on a non-profit basis and is initiated, owned, or managed by the referenced entity.
-
E.
nonProfitSector
Indicates that an entity operates within or is associated with the nonprofit sector, typically focusing on mission-driven rather than profit-driven activities.
- 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_69c0086b05cc8190a8f36a96927a525c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03ee10b308190afe38b904ae7c5f7 |
completed | March 22, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69c0335806788190b6488ca8b73f7a63 |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c03edf98b881908e9dbc03d3fd6218 |
completed | March 22, 2026, 7:11 p.m. |
Created at: March 22, 2026, 4:02 p.m.