Triple
T36253221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Tour (2014–2017) |
E891856
|
entity |
| Predicate | lastShowCountry |
P68490
|
FINISHED |
| Object | United States |
—
|
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: United States | Statement: [World Tour (2014–2017), lastShowCountry, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastShowCountry Context triple: [World Tour (2014–2017), lastShowCountry, United States]
-
A.
lastKnownPositionCountry
Indicates the country in which an entity was most recently known to be located.
-
B.
previousCountry
Indicates that one country was the immediately preceding country associated with, visited by, or occupied by a given entity before its current country.
-
C.
countryOfShow
Indicates that a show is associated with, produced in, or originates from a particular country.
-
D.
lastHostCountry
chosen
Indicates the country that most recently hosted a particular event, activity, or entity.
-
E.
lastParadingNation
Indicates that a nation is the final one in the sequence of nations participating in a parade.
- 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_69f76e4599108190811532e707d6bc2c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b5fbbf548190bba73f385cc5afd4 |
completed | May 3, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c44390819084fb5558b354658f |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:09 p.m.