Triple
T4230087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Javanese script |
E94557
|
entity |
| Predicate | hasTraditionalMedium |
P7961
|
FINISHED |
| Object | palm-leaf manuscripts |
—
|
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: palm-leaf manuscripts | Statement: [Javanese script, hasTraditionalMedium, palm-leaf manuscripts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTraditionalMedium Context triple: [Javanese script, hasTraditionalMedium, palm-leaf manuscripts]
-
A.
hasAssociatedMedium
chosen
Indicates that one entity is linked to another entity that serves as its medium, format, or channel of expression or transmission.
-
B.
hasTraditionalFormIn
Indicates that something possesses a customary or historically established form or representation within a specified context, system, or location.
-
C.
usedMedium
Indicates that an action or communication was carried out through a particular medium or channel.
-
D.
hasMediaOutlet
Indicates that one entity possesses, controls, or is associated with a media outlet (such as a newspaper, TV channel, or online news platform).
-
E.
hasTraditionalSymbol
Indicates that something is associated with or represented by a conventional or culturally established symbol.
- 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_69b3453700a08190ae88792e3dc63207 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e61ccc081909b880baf1d6a0f24 |
completed | March 12, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69b347f3bd188190b0cd613e8a5c1683 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:05 p.m.