Triple
T25248497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All I Ever Wanted Tour |
E632667
|
entity |
| Predicate | includedLegs |
P174651
|
FINISHED |
| Object | North America |
—
|
NE NERFINISHED |
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: North America | Statement: [All I Ever Wanted Tour, includedLegs, North America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includedLegs Context triple: [All I Ever Wanted Tour, includedLegs, North America]
-
A.
legs
Indicates that an entity possesses legs, specifying the presence or number of leg-like appendages associated with it.
-
B.
hasLegType
Indicates that an entity possesses a specific type or category of legs.
-
C.
hasLeg
Indicates that an entity possesses one or more legs as part of its physical structure.
-
D.
domesticLegIn
Indicates that a particular segment or leg of a journey or itinerary occurs within the domestic boundaries of a specified country or region.
-
E.
hasLimbs
Indicates that an entity possesses one or more limbs as physical appendages.
- 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_69e75a8fdd3881909ba0b05aa5da92a7 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f6c5b7e46081909975b05f7298cc0e |
completed | May 3, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f6c49069e48190a3486b6254a6645b |
completed | May 3, 2026, 3:44 a.m. |
Created at: April 21, 2026, 1:10 p.m.