Triple
T33238978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mana Motuhake |
E850910
|
entity |
| Predicate | languageOfPoliticalMaterials |
P54404
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Mana Motuhake, languageOfPoliticalMaterials, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfPoliticalMaterials Context triple: [Mana Motuhake, languageOfPoliticalMaterials, English]
-
A.
languageOfPoliticalWork
chosen
Indicates the language in which a political work (such as a document, speech, or publication) is expressed or written.
-
B.
languageOfPoliticalContext
Indicates the language in which a given political context, discourse, or situation is expressed or conducted.
-
C.
languageOfManifesto
Indicates the language in which a given manifesto is written or expressed.
-
D.
languageOfCampaigning
Indicates the language used to conduct or communicate a campaign (e.g., political, marketing, or advocacy efforts).
-
E.
languageOfSources
Indicates that the specified language is the language in which the referenced sources or source materials are expressed.
- 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_69f34962386c81909ddc3bf9e18ddeb8 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a00119d821c8190874786391b27ef23 |
completed | May 10, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_6a001143fb6881909ac0ae8bfea04351 |
completed | May 10, 2026, 5:01 a.m. |
Created at: May 1, 2026, 1:31 a.m.