Triple
T28963680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VH1 100 Greatest Songs of the 80s |
E731978
|
entity |
| Predicate | numberOfItemsRanked |
P39431
|
FINISHED |
| Object | 100 |
—
|
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: 100 | Statement: [VH1 100 Greatest Songs of the 80s, numberOfItemsRanked, 100]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfItemsRanked Context triple: [VH1 100 Greatest Songs of the 80s, numberOfItemsRanked, 100]
-
A.
numberOfRankedEntities
chosen
Indicates the total count of entities that have been assigned a rank within a given ranking or ordered set.
-
B.
numberOfRankedPeople
Indicates the total count of people who have been assigned a rank within a given context or system.
-
C.
estimatedNumberOfItems
Indicates the approximate count or quantity of items associated with the subject, typically when the exact number is unknown or uncertain.
-
D.
rankComparedToCount
Indicates how an entity’s rank or ordering position compares relative to a specified total count or number of items.
-
E.
isRanked
Indicates that an entity has been assigned a position or level within an ordered hierarchy or comparative list.
- 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_69f043ee242c8190b063248b417c5a69 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69ffb1f0b03c81909ddb81f07ce74e88 |
completed | May 9, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69ffb1662b2481908582e0612744f4c5 |
completed | May 9, 2026, 10:12 p.m. |
Created at: April 28, 2026, 8:51 a.m.