Triple
T18945497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lakshmana Temple |
E463501
|
entity |
| Predicate | hasBaseMouldings |
P133896
|
FINISHED |
| Object | multiple horizontal friezes |
—
|
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: multiple horizontal friezes | Statement: [Lakshmana Temple, hasBaseMouldings, multiple horizontal friezes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBaseMouldings Context triple: [Lakshmana Temple, hasBaseMouldings, multiple horizontal friezes]
-
A.
hasCornice
Indicates that one entity (typically a building or structure) possesses a cornice as an architectural feature.
-
B.
hasDoorMaterial
Indicates that an entity’s door is made of, or primarily composed of, a specified material.
-
C.
hasWallShape
Indicates that an entity possesses a wall whose form or outline matches a specified geometric or structural shape.
-
D.
hasCeilingDecoration
Indicates that an entity features or is adorned with a decorative element on its ceiling.
-
E.
hasDomeMaterial
Indicates that the material specified is used as the primary construction or covering material of a dome.
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d53f6eb8819099b1268db8b14d66 |
completed | April 20, 2026, 7:26 a.m. |
| PD | Predicate disambiguation | batch_69e4a2efec5c8190840704016bf547a1 |
completed | April 19, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69e4ad8e075c8190ad561edc5e520057 |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 11:59 a.m.