Triple
T3979449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | African Renaissance Monument |
E85720
|
entity |
| Predicate | oneOfTallest |
P8811
|
FINISHED |
| Object | statues in Africa |
—
|
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: statues in Africa | Statement: [African Renaissance Monument, oneOfTallest, statues in Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oneOfTallest Context triple: [African Renaissance Monument, oneOfTallest, statues in Africa]
-
A.
isOneOfTallestIn
chosen
Indicates that an entity is among the tallest members within a specified group, set, or location.
-
B.
worldRegionTallestRecord
Indicates that an entity holds the record for being the tallest within a specified world region.
-
C.
rankByHeightWorld
Indicates an ordering of entities based on their relative height compared to all others in the world.
-
D.
oneOfLargest
Indicates that the subject is among the largest members within a specified group or set, but not necessarily the single largest.
-
E.
isTallestTowerIn
Indicates that one tower is the tallest tower within a specified location or set of towers.
- 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_69aed93908348190a26c8aaf4fab3e86 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa3ef7ac8190abe02f440ff83c43 |
completed | March 9, 2026, 4:50 p.m. |
| PD | Predicate disambiguation | batch_69aef8f492ac819089dbb9436dbcdd2b |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:33 p.m.