Triple
T322833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khmer |
E6451
|
entity |
| Predicate | scriptOrigin |
P3654
|
FINISHED |
| Object | Brahmic 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: Brahmic script | Statement: [Khmer, scriptOrigin, Brahmic script]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptOrigin Context triple: [Khmer, scriptOrigin, Brahmic script]
-
A.
hasOriginIn
chosen
Indicates that something begins, arises, or is derived from a specified source, place, or cause.
-
B.
source
Indicates that something originates from, is derived from, or is provided by a particular entity or location.
-
C.
primaryScript
Indicates the writing system or script that is chiefly used to represent the language or content of an entity.
-
D.
scriptType
Indicates the classification or category of a script, specifying what kind of script it is (e.g., its format, purpose, or scripting language type).
-
E.
scriptDirection
Indicates the direction in which a writing system or script is read or written (e.g., left-to-right, right-to-left, top-to-bottom).
- 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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea82ba748190bae651f5de908617 |
completed | Feb. 28, 2026, 1:15 p.m. |
| PD | Predicate disambiguation | batch_69a2e948048c819098ba4de9261ef2ef |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.