Triple
T20753888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | bumi |
E510799
|
entity |
| Predicate | meansInMalay |
P141363
|
FINISHED |
| Object | earth |
—
|
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: earth | Statement: [bumi, meansInMalay, earth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meansInMalay Context triple: [bumi, meansInMalay, earth]
-
A.
textMeaning
Indicates that one text expresses, conveys, or corresponds to a particular meaning or semantic content.
-
B.
meaningViaAndrzej
Indicates that something’s meaning or interpretation is conveyed, mediated, or understood specifically through Andrzej.
-
C.
meaningInContext
Indicates that one entity represents or conveys a particular meaning, interpretation, or sense within a specific context or situation.
-
D.
duMeaning
Indicates that one entity expresses, conveys, or signifies a particular meaning or sense in relation to another.
-
E.
commonMeaning
Indicates that multiple entities share the same or very similar meaning or semantic interpretation.
- 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_69e0b4c909ec8190b05987f1639513f6 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c22d0ebc8190b17077326f540f98 |
completed | April 21, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69e5c0509608819080cdbf47fcddfe36 |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3cbe5788190b7ace43bfdac2ef6 |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 12:34 p.m.