Triple
T7792841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dinamo Tirana |
E180222
|
entity |
| Predicate | countryTopDivisionTitles |
P79051
|
FINISHED |
| Object | multiple |
—
|
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: multiple | Statement: [Dinamo Tirana, countryTopDivisionTitles, multiple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryTopDivisionTitles Context triple: [Dinamo Tirana, countryTopDivisionTitles, multiple]
-
A.
countryWithMostTitles
Indicates the country that holds the highest number of titles (e.g., championships or awards) within a specified competition or context.
-
B.
historicalTopDivisionName
Indicates that an entity had a particular name for its top competitive division during a past period in its history.
-
C.
worldTitles
Indicates that an entity has won one or more world championship titles in a given field or competition.
-
D.
numberOfWeightDivisionsWithWorldTitles
Indicates the count of distinct weight divisions in which an entity has held world championship titles.
-
E.
arenaCupTitles
Indicates the number of Arena Cup championship titles an entity has won.
- 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_69ca827d22208190b4dc5aa680edcf5d |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf78a6d88819093f83528fe88b182 |
completed | March 30, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69cae9111b2481909684a2d4aa4831c2 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf7855a3c81908b9318f7186fc0c0 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:31 p.m.