Triple
T3947161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Statue of Mahatma Gandhi, Parliament Square |
E92173
|
entity |
| Predicate | hasPlinth |
P52188
|
FINISHED |
| Object | stone plinth |
—
|
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: stone plinth | Statement: [Statue of Mahatma Gandhi, Parliament Square, hasPlinth, stone plinth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlinth Context triple: [Statue of Mahatma Gandhi, Parliament Square, hasPlinth, stone plinth]
-
A.
centralPlinthHeight
Indicates the height of a central plinth relative to a defined reference or surrounding elements.
-
B.
hasBalustrades
Indicates that one entity features or is equipped with balustrades as part of its structure or design.
-
C.
hasMezzanine
Indicates that one entity includes or is equipped with a mezzanine level in relation to another entity.
-
D.
heightWithPedestal
Indicates the total vertical measurement of an object including the height of its supporting pedestal.
-
E.
hasCourtyard
Indicates that one entity includes, features, or is characterized by the presence of a courtyard.
- 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_69aed965502c8190904ebad1203a4ae8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1515c688190a38332aedeed8a76 |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee764235081909309b3c982f322a9 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aef14f9bb4819098e64b527b546d74 |
completed | March 9, 2026, 4:11 p.m. |
Created at: March 9, 2026, 3:24 p.m.