Triple
T23709023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edifício Itália |
E585808
|
entity |
| Predicate | oneOfTallestBuildingsIn |
P31595
|
FINISHED |
| Object | São Paulo |
—
|
NE NERFINISHED |
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: São Paulo | Statement: [Edifício Itália, oneOfTallestBuildingsIn, São Paulo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oneOfTallestBuildingsIn Context triple: [Edifício Itália, oneOfTallestBuildingsIn, São Paulo]
-
A.
oneOfTallestStructuresIn
Indicates that an entity is among the tallest structures located within a specified place or region.
-
B.
tallestBuildingIn
Indicates that one entity is the tallest building located within the area or region specified by the other entity.
-
C.
isTallestStructureIn
Indicates that the subject is the tallest structure located within the specified place or area.
-
D.
rankAmongTallestBuildings
chosen
Indicates that one building is among the tallest buildings within a specified group, area, or category.
-
E.
towerName
Indicates the specific name assigned to a tower in the relationship.
- 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_69e24905f77881908194d645676acd60 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b775a4288190bbee7bd4b5bbcd75 |
completed | April 29, 2026, 7:47 a.m. |
| PD | Predicate disambiguation | batch_69f155e4b1148190836ede4741dcb888 |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 6:53 p.m.