Triple
T10456675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wat Si Saket |
E246567
|
entity |
| Predicate | hasCloisterWalls |
P94145
|
FINISHED |
| Object | lined with thousands of Buddha images |
—
|
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: lined with thousands of Buddha images | Statement: [Wat Si Saket, hasCloisterWalls, lined with thousands of Buddha images]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCloisterWalls Context triple: [Wat Si Saket, hasCloisterWalls, lined with thousands of Buddha images]
-
A.
hasCloister
Indicates that one entity possesses or includes a cloister as part of its structure or layout.
-
B.
hasOuterWall
Indicates that one entity possesses or is surrounded by an external enclosing wall that defines its outer boundary.
-
C.
cloisterConstruction
Indicates the construction or building activity specifically related to a cloister or cloistered architectural space.
-
D.
hasTerracedWalls
Indicates that an entity possesses walls that are constructed in stepped or terraced levels rather than as a single continuous vertical surface.
-
E.
hasCloisterFromCentury
Indicates that an entity possesses a cloister that dates from, or was constructed in, a specified century.
- F. None of above. chosen
Provenance (4 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe498a808190b88530f0221df4a6 |
completed | April 7, 2026, 12:53 p.m. |
| PD | Predicate disambiguation | batch_69d4fb7d353c8190a73f439a956c7606 |
completed | April 7, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69d4fe058fcc81909428137d9ffd6d90 |
completed | April 7, 2026, 12:52 p.m. |
Created at: April 6, 2026, 12:18 p.m.