Triple
T25542635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sweetener World Tour |
E640212
|
entity |
| Predicate | firstShowCity |
P130713
|
FINISHED |
| Object | Albany |
—
|
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: Albany | Statement: [Sweetener World Tour, firstShowCity, Albany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstShowCity Context triple: [Sweetener World Tour, firstShowCity, Albany]
-
A.
firstSeasonCity
Indicates that a city is the location where a sports team played its first season.
-
B.
capitalCityShown
Indicates that the specified capital city is visually displayed or highlighted in a given context (such as a map, interface, or visualization).
-
C.
firstMatchCity
Indicates that the referenced city is the first one that matches a given set of criteria or search conditions among multiple possible cities.
-
D.
firstRaceCity
Indicates the city where an entity’s first race or competitive event took place.
-
E.
firstStagedInCity
chosen
Indicates the city where something, such as a performance or production, was first staged or premiered.
- 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_69e75dbfff7081909b0aa779d48321d2 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
Created at: April 21, 2026, 3:26 p.m.