Triple
T7472502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Menominee people |
E176540
|
entity |
| Predicate | terminationPolicyApplied |
P76444
|
FINISHED |
| Object | 1954 |
—
|
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: 1954 | Statement: [Menominee people, terminationPolicyApplied, 1954]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: terminationPolicyApplied Context triple: [Menominee people, terminationPolicyApplied, 1954]
-
A.
expirationPolicy
Indicates the rules or conditions under which something becomes invalid, unusable, or no longer in effect after a certain time or event.
-
B.
implementedPolicy
Indicates that a particular policy has been put into effect or carried out by an entity.
-
C.
conversionPolicyImposedBy
Indicates that a specific conversion policy is mandated or enforced by a particular authority or entity.
-
D.
laterPolicy
Indicates that one policy occurs or becomes effective after another policy in time.
-
E.
targetedByPolicy
Indicates that an entity is the intended subject or focus of a specific policy’s rules, actions, or effects.
- 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_69c69f223fd88190b4c69b95d7cbeeda |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f416d018819098275cc51d8def3f |
completed | March 27, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69c6f03d967081908a8e696ff9693b90 |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f105e320819091db3cdb1f1351f0 |
completed | March 27, 2026, 9:05 p.m. |
Created at: March 27, 2026, 3:41 p.m.