Triple
T12575316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | วัดอรุณ |
E300190
|
entity |
| Predicate | ตั้งอยู่ริม |
P39043
|
FINISHED |
| Object | แม่น้ำเจ้าพระยา |
—
|
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: แม่น้ำเจ้าพระยา | Statement: [วัดอรุณ, ตั้งอยู่ริม, แม่น้ำเจ้าพระยา]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ตั้งอยู่ริม Context triple: [วัดอรุณ, ตั้งอยู่ริม, แม่น้ำเจ้าพระยา]
-
A.
locatedOnBankOfRiver
chosen
Indicates that one entity is situated along or directly adjacent to the bank of a specified river.
-
B.
hasSettlementOnRiver
Indicates that a settlement is located on or directly adjacent to a specific river.
-
C.
locatedInRiverArea
Indicates that one entity is situated within the geographic area occupied by, adjacent to, or directly associated with a particular river.
-
D.
locatedBetweenRiver
Indicates that an entity is situated in the area or region between two segments or banks of a river, or between two rivers.
-
E.
hasRiverBankSettlement
Indicates that a settlement is located on or directly adjacent to the bank of a river.
- 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.