Triple
T37043657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strahov Stadium |
E916848
|
entity |
| Predicate | fieldArea |
P178927
|
FINISHED |
| Object | approximately 63000 square metres |
—
|
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: approximately 63000 square metres | Statement: [Strahov Stadium, fieldArea, approximately 63000 square metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldArea Context triple: [Strahov Stadium, fieldArea, approximately 63000 square metres]
-
A.
areaOf
chosen
Indicates that one entity represents the measured surface extent (area) of another entity.
-
B.
fareArea
Indicates the geographic or zonal region within which a particular fare or pricing rule applies.
-
C.
area
Indicates that one entity has a measured two-dimensional extent or surface size quantified by another entity.
-
D.
área
Indicates that something has a specific surface extent or size measured in square units.
-
E.
fields
Indicates that one entity has fields or attributes that are defined, declared, or contained within another entity.
- 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_69f76e93ec4c8190be81cf87354d9155 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:14 p.m.