Triple
T8312836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New7Wonders of Nature |
E194631
|
entity |
| Predicate | hasInitialNomineeCount |
P82695
|
FINISHED |
| Object | hundreds of candidate sites |
—
|
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: hundreds of candidate sites | Statement: [New7Wonders of Nature, hasInitialNomineeCount, hundreds of candidate sites]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInitialNomineeCount Context triple: [New7Wonders of Nature, hasInitialNomineeCount, hundreds of candidate sites]
-
A.
hasNominatedMembers
Indicates that an entity has selected and put forward specific individuals to serve as members of another body, group, or role.
-
B.
hasHadVariableNomineeCount
Indicates that the number of nominees associated with something has changed over time rather than remaining fixed.
-
C.
hasNumberOfVotesAllocatedBy
Indicates that a specific number of votes has been assigned or allocated to an entity by another entity.
-
D.
hasNomineeType
Indicates that an entity has a nominee belonging to a specified type or category.
-
E.
hasNumberOfFinalists
Indicates the relationship between an entity and the count of finalists associated with it.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69cb76d648988190ab0669cc0592e827 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 5:54 p.m.