Triple
T36253218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Tour (2014–2017) |
E891856
|
entity |
| Predicate | firstShowCountry |
P136560
|
FINISHED |
| Object | United States |
E14
|
NE 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: United States | Statement: [World Tour (2014–2017), firstShowCountry, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstShowCountry Context triple: [World Tour (2014–2017), firstShowCountry, United States]
-
A.
firstForCountry
Indicates that the subject is the first instance or occurrence of its type to happen or exist within the specified country.
-
B.
showCountry
Indicates that something displays or reveals information about a country.
-
C.
openingCountry
chosen
Indicates the country in which something (such as a business, event, or production) is first opened, launched, or premiered.
-
D.
wasFirstPerformedInCountry
Indicates that an action, event, or work was first performed within the borders of a specified country.
-
E.
firstMatchCountry
Indicates that the referenced country is the first one that matches a given set of criteria or conditions among a group of countries.
- F. None of above.
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_69f76e4599108190811532e707d6bc2c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a39a30807908190a1706d9acee2cab7 |
completed | June 22, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_6a037a0a54cc8190868c1bfa1590d1a6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:09 p.m.