Triple
T8312835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New7Wonders of Nature |
E194631
|
entity |
| Predicate | hasNomineeCount |
P12579
|
FINISHED |
| Object | 28 finalists |
—
|
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: 28 finalists | Statement: [New7Wonders of Nature, hasNomineeCount, 28 finalists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNomineeCount Context triple: [New7Wonders of Nature, hasNomineeCount, 28 finalists]
-
A.
hasHadVariableNomineeCount
Indicates that the number of nominees associated with something has changed over time rather than remaining fixed.
-
B.
hasNominatedMembers
Indicates that an entity has selected and put forward specific individuals to serve as members of another body, group, or role.
-
C.
typicalNumberOfNominees
chosen
Indicates the usual or standard count of nominees associated with something, such as an award, position, or selection process.
-
D.
hasNomineeType
Indicates that an entity has a nominee belonging to a specified type or category.
-
E.
mostNominationsCount
Indicates the highest number of nominations that any entity in the relevant set has received.
- 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_69ca82e6e2648190a31eaf6f4f757b2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f5173c881909f2e84d53ea33a98 |
completed | March 31, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69cb70bb3a708190bc705222092da614 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:54 p.m.