Triple
T2288977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What a Girl Wants |
E51458
|
entity |
| Predicate | NewZealandPeakPosition |
P36211
|
FINISHED |
| Object | top 10 |
—
|
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: top 10 | Statement: [What a Girl Wants, NewZealandPeakPosition, top 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NewZealandPeakPosition Context triple: [What a Girl Wants, NewZealandPeakPosition, top 10]
-
A.
rankInSizeInNewZealandIslands
Indicates the ordinal position of an island in New Zealand when ordered by size (e.g., largest, second largest, etc.).
-
B.
notablePeak
Indicates that one entity is a peak or summit that is especially prominent, famous, or significant in relation to another entity.
-
C.
territorialPeak
Indicates the highest geographical point located within the territory or jurisdiction of a given entity.
-
D.
areaPeak
Indicates that a specified location or region is the highest point (peak) within a given area or spatial extent.
-
E.
isSecondHighestPeakIn
Indicates that one entity is the mountain or peak with the second greatest elevation within the geographic or contextual set defined by the other entity.
- 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_69a88b09c644819090b503456d96bf70 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc2497ce881909b05eb9cec67d9e7 |
completed | March 7, 2026, 6:14 a.m. |
| PD | Predicate disambiguation | batch_69abbdbc8bcc8190a183481d766965a4 |
completed | March 7, 2026, 5:55 a.m. |
| PDg | Predicate description generation | batch_69abbe1ecb7081909c2c66da08a48ab7 |
completed | March 7, 2026, 5:56 a.m. |
Created at: March 4, 2026, 7:48 p.m.