Triple
T9692579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ancient China |
E234568
|
entity |
| Predicate | medicalTradition |
P64101
|
FINISHED |
| Object | traditional Chinese medicine |
—
|
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: traditional Chinese medicine | Statement: [Ancient China, medicalTradition, traditional Chinese medicine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: medicalTradition Context triple: [Ancient China, medicalTradition, traditional Chinese medicine]
-
A.
mainTradition
Indicates that one entity represents the primary or dominant tradition associated with another entity.
-
B.
historicalPractice
Indicates that an action, behavior, or relationship occurred as a customary or established practice during a past historical period.
-
C.
establishedTradition
chosen
Indicates that something has become a customary, long-standing practice or convention that is regularly followed within a group, culture, or context.
-
D.
practicedTradition
Indicates that an entity engages in or carries out a particular tradition as a customary or repeated practice.
-
E.
foundedByTradition
Indicates that something was established or created according to a longstanding custom, practice, or tradition rather than by a specific individual or formal institution.
- 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_69ca84ca73208190957a900c8543bdcc |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d05d70c8190b1ddcd24b50b4f50 |
completed | April 1, 2026, 10:32 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b840f081909f66bf0b66d17d9b |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:17 p.m.