Triple
T26641071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ยี่เป็ง |
E668779
|
entity |
| Predicate | มีบรรยากาศ |
P25329
|
FINISHED |
| Object | การประดับโคมไฟตามวัดและถนน |
—
|
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: การประดับโคมไฟตามวัดและถนน | Statement: [ยี่เป็ง, มีบรรยากาศ, การประดับโคมไฟตามวัดและถนน]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: มีบรรยากาศ Context triple: [ยี่เป็ง, มีบรรยากาศ, การประดับโคมไฟตามวัดและถนน]
-
A.
hasAtmosphere
Indicates that an astronomical body possesses a surrounding layer of gases held by its gravity.
-
B.
hasVillageAtmosphere
Indicates that a place possesses the qualities and feel of a small, close-knit village environment.
-
C.
atmosphereStatus
Indicates the current condition or state of an atmosphere, such as its composition, quality, or environmental status.
-
D.
hasTraditionalAtmosphere
Indicates that something possesses a classic, customary, or historically rooted ambiance or mood, often reflecting long-established cultural or social practices.
-
E.
atmosphereStyle
chosen
Indicates the general mood, ambiance, or experiential character associated with a place, event, or environment.
- 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_69ee9d0024b8819090a7c8cf669a3b6c |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f616320b9c8190b3a5792ffcfe3bc1 |
completed | May 2, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 2:29 a.m.