Triple
T7827246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Croatia national football team |
E181276
|
entity |
| Predicate | mostCappedPlayerCaps |
P31079
|
FINISHED |
| Object | 170+ |
—
|
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: 170+ | Statement: [Croatia national football team, mostCappedPlayerCaps, 170+]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostCappedPlayerCaps Context triple: [Croatia national football team, mostCappedPlayerCaps, 170+]
-
A.
mostCapsPlayer
chosen
Indicates that the subject is the player who has made the highest number of appearances (caps) for a given team or context.
-
B.
nationalCaps
Indicates that one entity serves as the national capital city of another entity (typically a country or nation).
-
C.
salaryCapUpperLimitUSD
Indicates the maximum allowable salary amount, expressed in U.S. dollars, that an entity (such as a person, team, or organization) is permitted to pay or receive under a defined cap or budget constraint.
-
D.
usesSalaryCap
Indicates that an entity applies or operates under a salary cap constraint when managing compensation or payroll.
-
E.
mostPointsPerGamePlayerChampion
Indicates that the subject is the player who achieved the highest average points per game and became the champion (top performer) in that scoring category.
- 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_69ca8282ccec819083c48efb72d21cf9 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb04a7f3b8819080f8a8283d6118fb |
completed | March 30, 2026, 11:18 p.m. |
| PD | Predicate disambiguation | batch_69cae91ae008819098e56bbe51143b31 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:43 p.m.