Triple
T1053635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madurese |
E22752
|
entity |
| Predicate | scriptUsedCurrently |
P22941
|
FINISHED |
| Object | Latin script |
—
|
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: Latin script | Statement: [Madurese, scriptUsedCurrently, Latin script]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptUsedCurrently Context triple: [Madurese, scriptUsedCurrently, Latin script]
-
A.
programUsed
Indicates that a particular program, software, or application was employed or utilized in performing an action or achieving a result.
-
B.
scriptOnFlag
Indicates that a script is attached to and/or executed when a specific flag or condition is set.
-
C.
scriptUsedInLyrics
Indicates that a particular writing system or script is used to write or represent the lyrics of a song or musical work.
-
D.
toolUsed
Indicates that an action or task is performed using a particular tool as the means or instrument.
-
E.
scriptUsedOnCoins
Indicates that a particular writing system or script is used on the inscriptions appearing on coins.
- 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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8d669448190955507e2e4975b9f |
completed | March 1, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69a4b731e25c8190b5ea8466648c2c9a |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b7da38888190a118ef20ce4ae9aa |
completed | March 1, 2026, 10:04 p.m. |
Created at: March 1, 2026, 7:42 p.m.