Triple
T31453755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valerie Adams |
E802391
|
entity |
| Predicate | numberOfWorldIndoorTitles |
P203034
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Valerie Adams, numberOfWorldIndoorTitles, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfWorldIndoorTitles Context triple: [Valerie Adams, numberOfWorldIndoorTitles, 4]
-
A.
worldIndoorChampionIn
Indicates that an entity has won a world indoor championship title in a specified event, discipline, or year.
-
B.
numberOfTitlesHeldByRecordHolders
Indicates the total count of titles held by the entities that are recognized as record holders.
-
C.
recordHolderMostTitles
Indicates that one entity holds the highest number of titles (e.g., championships, awards, or similar distinctions) compared to all other entities in a given context.
-
D.
numberOfNationalTitles
Indicates the total count of national-level championship titles that an entity has won.
-
E.
worldChampionshipTitles
Indicates the number of world championship titles an entity has won.
- 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_69f348c678ac81908a2e950867619061 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a0117b6539c8190be7d231e891fe546 |
completed | May 10, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_6a011762f7ec8190afc884b92419d33f |
completed | May 10, 2026, 11:40 p.m. |
| PDg | Predicate description generation | batch_6a0117b4eec88190a761ac126f5cc8e2 |
completed | May 10, 2026, 11:41 p.m. |
Created at: April 30, 2026, 9:15 p.m.