Triple
T1740777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tenure of Office Act |
E38226
|
entity |
| Predicate | languageAmbiguity |
P31777
|
FINISHED |
| Object | uncertainty whether it applied to officials appointed by a previous president |
—
|
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: uncertainty whether it applied to officials appointed by a previous president | Statement: [Tenure of Office Act, languageAmbiguity, uncertainty whether it applied to officials appointed by a previous president]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageAmbiguity Context triple: [Tenure of Office Act, languageAmbiguity, uncertainty whether it applied to officials appointed by a previous president]
-
A.
languageAccessImplication
Indicates that the availability or characteristics of language access (e.g., translation, interpretation, or linguistic support) lead to, enable, or influence a particular outcome, condition, or relationship between entities.
-
B.
languageNeutral
Indicates that the relationship or action is independent of any specific natural language, applying uniformly across different linguistic contexts.
-
C.
languageProvision
Indicates that one entity supplies, supports, or makes available a particular language (or set of languages) for use by another entity.
-
D.
linguisticType
Indicates the type or category of language or linguistic system associated with an entity (e.g., spoken, signed, written, or other linguistic modality).
-
E.
languageAssociation
Indicates an association or relationship between entities based on a language they use, represent, or are linked to.
- 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_69a8862b01a48190ab47209063af82d9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab3c2559ac8190905186406fcaccb9 |
completed | March 6, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69aa61c4023c819099cbe439aefda71f |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab3c2479148190badc616f8e2686d4 |
completed | March 6, 2026, 8:42 p.m. |
Created at: March 4, 2026, 7:30 p.m.