Triple
T17609693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borg El Arab Stadium |
E428934
|
entity |
| Predicate | rankByCapacityInAfrica |
P128263
|
FINISHED |
| Object | one of the largest stadiums 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: one of the largest stadiums in Africa | Statement: [Borg El Arab Stadium, rankByCapacityInAfrica, one of the largest stadiums in Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankByCapacityInAfrica Context triple: [Borg El Arab Stadium, rankByCapacityInAfrica, one of the largest stadiums in Africa]
-
A.
rankingByHeightInAfrica
Indicates that entities are ordered or compared based on their height specifically within the context of Africa.
-
B.
areaRankingInAfrica
Indicates the relative position of an entity in a size-based ranking of areas within Africa.
-
C.
rankByCapacityInUS
Indicates the relative ordering of entities based on their capacity within the United States.
-
D.
rankInAfricaByLength
Indicates the position of something in an ordered list of African entities sorted by their length (e.g., size, distance, or extent).
-
E.
economyRankInAfricaByGDP
Indicates the relative position of an African country's economy when ordered by the size of its Gross Domestic Product (GDP) compared to other African countries.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c4e6ba48190804e113983e7c704 |
completed | April 19, 2026, 5:46 a.m. |
| PD | Predicate disambiguation | batch_69e3cdd7da34819099bc9481c5a79bab |
completed | April 18, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69e3cfaac2b881909e1140339eb1a0dd |
completed | April 18, 2026, 6:38 p.m. |
Created at: April 10, 2026, 5:51 a.m.