Triple
T26375929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FRPS |
E660897
|
entity |
| Predicate | rankWithinRPS |
P152574
|
FINISHED |
| Object | highest distinction |
—
|
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: highest distinction | Statement: [FRPS, rankWithinRPS, highest distinction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankWithinRPS Context triple: [FRPS, rankWithinRPS, highest distinction]
-
A.
rankingPositions
Indicates the ordered placement or level assigned to entities within a ranking or hierarchy.
-
B.
rankIn
chosen
Indicates the relative position or level an entity holds within an ordered set, hierarchy, or competitive context.
-
C.
rankingPoints
Indicates the number of points assigned to an entity based on its position or performance in a ranking or competition.
-
D.
roleInRanking
Indicates that an entity holds a specific position or function within a particular ranking or ordered list.
-
E.
powerRating
Indicates the level or amount of power associated with an entity, typically expressing its strength, capacity, or performance capability.
- 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_69ee812a698881908d6a58265995fa39 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f6106f23cc8190854556a454648ab0 |
completed | May 2, 2026, 2:55 p.m. |
| PD | Predicate disambiguation | batch_69f5f800fa9c8190aab0962669fde8ac |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 11:01 p.m.