Triple
T36305027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shui language |
E893921
|
entity |
| Predicate | traditionalScriptUse |
P17239
|
FINISHED |
| Object | ritual texts |
—
|
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: ritual texts | Statement: [Shui language, traditionalScriptUse, ritual texts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalScriptUse Context triple: [Shui language, traditionalScriptUse, ritual texts]
-
A.
traditionalText
Indicates that the associated text is expressed in a traditional or historically established form, style, or script as opposed to a modern or simplified variant.
-
B.
traditionalLanguageType
Indicates that an entity’s language belongs to a traditional or historically established linguistic type or category.
-
C.
formerScript
chosen
Indicates that an entity previously served as the script or writing system for another entity, but is no longer used in that role.
-
D.
traditionalStyle
Indicates that something follows or embodies a conventional, long-established way of doing, making, or presenting it, in contrast to modern or innovative styles.
-
E.
traditionalSee
Indicates that one entity perceives or views another entity in a conventional or customary manner, following established norms or traditions.
- 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_69f76e4c1b248190b10667d0213537fe |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff84df768c81908c65a1a7e33103ad |
completed | May 9, 2026, 7:02 p.m. |
| PD | Predicate disambiguation | batch_69ff848d0af881908ee42c27a58af47e |
completed | May 9, 2026, 7:01 p.m. |
Created at: May 3, 2026, 4:09 p.m.