Triple
T30032369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Cruz, RN |
E763055
|
entity |
| Predicate | hasStatueHeightCharacteristic |
P196119
|
FINISHED |
| Object | one of the tallest religious statues in Brazil |
—
|
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: one of the tallest religious statues in Brazil | Statement: [Santa Cruz, RN, hasStatueHeightCharacteristic, one of the tallest religious statues in Brazil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStatueHeightCharacteristic Context triple: [Santa Cruz, RN, hasStatueHeightCharacteristic, one of the tallest religious statues in Brazil]
-
A.
statueHeight
Indicates the height measurement of a statue in some specified unit.
-
B.
hasStatue
Indicates that one entity possesses, contains, or is associated with a statue representing or located within it.
-
C.
hasLargestStatueHeight
Indicates that one entity possesses the greatest statue height compared to other relevant entities in the given context.
-
D.
hasTowerHeight
Indicates that an entity (such as a tower or structure) has a specific height value associated with it.
-
E.
centralMonumentHeight
Indicates the height measurement of a central monument in a given context or location.
- 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_69f2246fb2b88190acff36bf7975c8f0 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fe08d2b2e48190ac7be6d62d4a44a3 |
completed | May 8, 2026, 4:01 p.m. |
| PD | Predicate disambiguation | batch_69fe06cd3af08190ae25de0dc0cdd573 |
completed | May 8, 2026, 3:52 p.m. |
| PDg | Predicate description generation | batch_69fe08d1b3f881908eccb74cb0d246dc |
completed | May 8, 2026, 4:01 p.m. |
Created at: April 29, 2026, 6:50 p.m.