Triple
T637457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thai language |
E16655
|
entity |
| Predicate | primaryScriptInUseSinceCentury |
P262
|
FINISHED |
| Object | 13th century |
—
|
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: 13th century | Statement: [Thai language, primaryScriptInUseSinceCentury, 13th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryScriptInUseSinceCentury Context triple: [Thai language, primaryScriptInUseSinceCentury, 13th century]
-
A.
usedSinceCentury
chosen
Indicates that something has been in use starting from a specified century.
-
B.
compiledInCentury
Indicates that something (such as a work, text, or document) was compiled during a specified century.
-
C.
originalCentury
Indicates the century in which something was originally created, produced, or came into existence.
-
D.
historicalScript
Indicates that an entity is or was written in, or otherwise associated with, a particular historical writing system or script.
-
E.
activeInCentury
Indicates that an entity was active, influential, or operational during a specified century.
- 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_69a4936be1c88190af56540324b57da7 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a17b125481909a6ab53424954792 |
completed | March 1, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69a49d0629308190bcc137639567f7c2 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.