Triple
T26053775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Institutional Ranking Framework |
E648058
|
entity |
| Predicate | firstRankingYear |
P192375
|
FINISHED |
| Object | 2016 |
—
|
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: 2016 | Statement: [National Institutional Ranking Framework, firstRankingYear, 2016]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstRankingYear Context triple: [National Institutional Ranking Framework, firstRankingYear, 2016]
-
A.
introducedRankingsYear
chosen
Indicates the year in which a particular set of rankings was first introduced or established.
-
B.
firstKnownTournamentYear
Indicates the year in which a tournament was first known to have been held.
-
C.
eloRankingBestYear
Indicates the year in which an entity achieved its highest Elo ranking.
-
D.
wasRankedWorldNumberOneUntil
Indicates that an entity held the world number one ranking in a given domain up to, but not beyond, a specified time.
-
E.
competitionDebutYear
Indicates the year in which an entity first participated in a particular competition.
- 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_69e77e8d419481908004e6318d28aaab |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fd8e5f7c4c8190ab8e2f2a7bb1bd79 |
completed | May 8, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69fd8d8a16f08190b9e880901bfa44fe |
completed | May 8, 2026, 7:15 a.m. |
Created at: April 22, 2026, 9:11 a.m.