Triple
T15883623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WWE Divas Championship |
E385134
|
entity |
| Predicate | mostReignsNumber |
P120910
|
FINISHED |
| Object | 3 |
—
|
LITERAL 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: 3 | Statement: [WWE Divas Championship, mostReignsNumber, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostReignsNumber Context triple: [WWE Divas Championship, mostReignsNumber, 3]
-
A.
reignDuration
Indicates the length of time during which an entity held ruling or governing authority over a domain or group.
-
B.
longestReigningTitle
Indicates that a person or entity holds the record for having possessed a particular title or position for the greatest length of time compared to all others.
-
C.
centuryOfReign
Indicates the century during which a given entity’s reign or rule took place.
-
D.
reignLengthsType
Indicates the type or categorization of the duration of a reign (e.g., how a reign’s length is classified).
-
E.
yearOfReign
Indicates the specific year or span of years during which a ruler or authority held official power or reigned.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142c3e18c8190bb7b023f4a0eaebb |
completed | April 16, 2026, 8:12 p.m. |
| PDg | Predicate description generation | batch_69e174da2c2c819099ec46616798245a |
completed | April 16, 2026, 11:46 p.m. |
Created at: April 10, 2026, 4:51 a.m.