Triple
T32093122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2017 British & Irish Lions tour to New Zealand |
E819647
|
entity |
| Predicate | thirdTestCity |
P156358
|
FINISHED |
| Object | Auckland |
—
|
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: Auckland | Statement: [2017 British & Irish Lions tour to New Zealand, thirdTestCity, Auckland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdTestCity Context triple: [2017 British & Irish Lions tour to New Zealand, thirdTestCity, Auckland]
-
A.
thirdTestVenue
chosen
Indicates that an entity serves as the third venue or location associated with a particular event, test, or activity.
-
B.
otherCity
Indicates that one city is different from and not the same as another city.
-
C.
thirdTestName
Indicates that an entity is associated with the name or label of its third test in a sequence of tests.
-
D.
isThirdLargestCityIn
Indicates that a city is the third largest (typically by population or area) within a specified region or country.
-
E.
city1
Indicates that the subject is classified as a city.
- 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_69f349004b2481908ce2e50af0d579a8 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7b5ccbda481908fe1945c35e36ce8 |
completed | May 3, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c06f5881908f0b98cad6796478 |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 1, 2026, 12:25 a.m.