Triple
T34384702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St George’s Square, Valletta |
E882525
|
entity |
| Predicate | isMainCeremonialSquareOf |
P180102
|
FINISHED |
| Object | Malta |
—
|
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: Malta | Statement: [St George’s Square, Valletta, isMainCeremonialSquareOf, Malta]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMainCeremonialSquareOf Context triple: [St George’s Square, Valletta, isMainCeremonialSquareOf, Malta]
-
A.
mainSquare
Indicates that a location serves as the primary or central public square of a town or city.
-
B.
isLargestCoveredPublicSquareIn
Indicates that a public square is the largest roofed or otherwise covered public square within a specified geographic area or jurisdiction.
-
C.
hasPublicSquareInFront
Indicates that a building or structure has a public square located directly in front of it.
-
D.
hasFamousSquare
Indicates that a place possesses or contains a well-known public square associated with it.
-
E.
capitalCitySquareOf
Indicates that one entity is a public square located in or associated with the capital city of the other entity.
- 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_69f349c0219881909393bbbc1edc8161 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f731cc6d1881908f80386ef4d70a09 |
completed | May 3, 2026, 11:30 a.m. |
| PD | Predicate disambiguation | batch_69f7317779e08190bf85777578221a6b |
completed | May 3, 2026, 11:28 a.m. |
| PDg | Predicate description generation | batch_69f731cbca10819091eefe2f2487928e |
completed | May 3, 2026, 11:30 a.m. |
Created at: May 1, 2026, 1:59 a.m.