Triple
T27022785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kayah Li language |
E680708
|
entity |
| Predicate | scriptCreatedIn |
P83397
|
FINISHED |
| Object | 1960s |
—
|
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: 1960s | Statement: [Kayah Li language, scriptCreatedIn, 1960s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptCreatedIn Context triple: [Kayah Li language, scriptCreatedIn, 1960s]
-
A.
scriptInventor
Indicates that one entity is the creator or originator of a particular writing system or script used by another entity.
-
B.
scriptCreationPeriod
chosen
Indicates the time span or historical period during which a particular script or writing system was originally created or developed.
-
C.
scriptDevelopedFor
Indicates that a script was specifically created or developed for use by, or in the context of, a particular entity or purpose.
-
D.
scriptWriter
Indicates that one entity is the person who wrote or authored the script associated with another entity.
-
E.
coCreatedWith
Indicates that an entity participated jointly with another entity in the creation or production of something.
- 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_69eeeb5450988190bfc9a3c012ac463a |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f661b58ac48190907b6c6e9ccc2c59 |
completed | May 2, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69f660eea4648190b0d5e24293607813 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 27, 2026, 7:09 a.m.