Triple
T12575315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | วัดอรุณ |
E300190
|
entity |
| Predicate | ตั้งอยู่ในเขต |
P83410
|
FINISHED |
| Object | เขตบางกอกใหญ่ |
—
|
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: เขตบางกอกใหญ่ | Statement: [วัดอรุณ, ตั้งอยู่ในเขต, เขตบางกอกใหญ่]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ตั้งอยู่ในเขต Context triple: [วัดอรุณ, ตั้งอยู่ในเขต, เขตบางกอกใหญ่]
-
A.
تقع في الجزء
Indicates that one entity is located within or occupies a specific part or section of another entity.
-
B.
يقع بين
Indicates that one entity is spatially situated between two or more other entities.
-
C.
تقع عنده
Indicates that something is located at or situated in the place associated with someone or something.
-
D.
locatedInRegionalDistrict
chosen
Indicates that one entity is geographically situated within the boundaries of a specified regional district.
-
E.
locatedIn
Indicates that one entity exists or is situated within the spatial, administrative, or conceptual boundaries of another entity.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9550d84908190aea0f50055f6d92e |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95414692881909c52a1de7d224b44 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 9, 2026, 4:46 p.m.