Triple
T7688014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mitey-Mite |
E174170
|
entity |
| Predicate | hasRuleFocus |
P34683
|
FINISHED |
| Object | reduced contact exposure compared to older divisions |
—
|
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: reduced contact exposure compared to older divisions | Statement: [Mitey-Mite, hasRuleFocus, reduced contact exposure compared to older divisions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRuleFocus Context triple: [Mitey-Mite, hasRuleFocus, reduced contact exposure compared to older divisions]
-
A.
hasRule
Indicates that an entity is governed, constrained, or defined by a specific rule or set of rules.
-
B.
hasRuleOver
Indicates that one entity holds authority, control, or governance over another entity.
-
C.
hasActingFocus
Indicates that an entity is the primary performer or focal agent carrying out an action in a given context.
-
D.
hasProgramFocus
chosen
Indicates that an entity (such as a program or initiative) is oriented around or primarily concerned with a particular thematic area, topic, or objective.
-
E.
hasGlobalFocus
Indicates that something is oriented toward, concerned with, or applicable to worldwide or international scope rather than a local or regional one.
- 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_69c6995840408190a19de6c51090f46f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c706d1f0208190bc5b695aa5736244 |
completed | March 27, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69c70163dea88190ae729df50e63dfd7 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:02 p.m.