Triple
T720314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Malay |
E14600
|
entity |
| Predicate | modernDescendant |
P10101
|
FINISHED |
| Object | Indonesian |
—
|
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: Indonesian | Statement: [Old Malay, modernDescendant, Indonesian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modernDescendant Context triple: [Old Malay, modernDescendant, Indonesian]
-
A.
modernDescendantCommunities
chosen
Indicates that certain present-day communities are descended from, or culturally/lineally continue, earlier groups or populations.
-
B.
modernState
Indicates that an entity functions as a contemporary, currently existing state or nation in the modern era.
-
C.
modernizedBy
Indicates that an entity has been updated, improved, or brought up to modern standards through the actions or influence of another entity.
-
D.
modernUse
Indicates how something is currently used or applied in modern times.
-
E.
modernAssociation
Indicates a contemporary or currently relevant connection, affiliation, or relationship between entities.
- 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_69a4934c753c81909b309027e48b9b3a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a58e65e8819098cba7e6a20d8f33 |
completed | March 1, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f513608190b716b939d574c292 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.