Triple
T7227314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tugu Yogyakarta |
E154811
|
entity |
| Predicate | originalShape |
P11451
|
FINISHED |
| Object | cylindrical column with a round top |
—
|
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: cylindrical column with a round top | Statement: [Tugu Yogyakarta, originalShape, cylindrical column with a round top]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalShape Context triple: [Tugu Yogyakarta, originalShape, cylindrical column with a round top]
-
A.
originalForm
Indicates that one entity is the earlier, source, or initial version from which another entity is derived or transformed.
-
B.
baseShape
chosen
Indicates that one entity serves as the fundamental or underlying shape or form upon which another entity is defined, derived, or constructed.
-
C.
originalType
Indicates that one entity represents the initial or source type from which another entity is derived, transformed, or reclassified.
-
D.
coreShape
Indicates that one entity serves as the primary or central shape or geometric form of another entity.
-
E.
originalFeature
Indicates that one entity is the initial or source feature from which another feature is derived, modified, or referenced.
- 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_69c68811dd1c8190ac460bb39e64e1f0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6e9df72cc81908d1c04e6e310fbb4 |
completed | March 27, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69c6e761b7fc8190857794d78af1b468 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:54 p.m.