Triple
T12543529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haruo Remeliik |
E299899
|
entity |
| Predicate | languageOfPoliticalContext |
P105805
|
FINISHED |
| Object | Palauan |
—
|
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: Palauan | Statement: [Haruo Remeliik, languageOfPoliticalContext, Palauan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfPoliticalContext Context triple: [Haruo Remeliik, languageOfPoliticalContext, Palauan]
-
A.
languageOfPoliticalWork
Indicates the language in which a political work (such as a document, speech, or publication) is expressed or written.
-
B.
languageOfCampaigning
Indicates the language used to conduct or communicate a campaign (e.g., political, marketing, or advocacy efforts).
-
C.
languageOfDebate
Indicates that a specified language is the one used for conducting a particular debate.
-
D.
languageAdvocated
Indicates that an entity actively supports, promotes, or argues in favor of the use or adoption of a particular language.
-
E.
languageOfBallots
Indicates the language or languages in which ballots are written or presented.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d95410d0b0819097646edd1b837104 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d95f5148948190946a575d812b329d |
completed | April 10, 2026, 8:36 p.m. |
Created at: April 8, 2026, 9:57 p.m.