Triple
T36913123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blanka Vlašić |
E912965
|
entity |
| Predicate | worldRecordRanking |
P733
|
FINISHED |
| Object | second-highest female outdoor high jump of all time |
—
|
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: second-highest female outdoor high jump of all time | Statement: [Blanka Vlašić, worldRecordRanking, second-highest female outdoor high jump of all time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldRecordRanking Context triple: [Blanka Vlašić, worldRecordRanking, second-highest female outdoor high jump of all time]
-
A.
globalRanking
chosen
Indicates the position or status of an entity relative to all comparable entities worldwide according to some ranking criteria.
-
B.
worldRecordCount
Indicates the number of world records associated with a given entity.
-
C.
worldRecordSet
Indicates that an entity has achieved and established the best performance ever recorded in the world for a particular activity, event, or measurable criterion.
-
D.
worldRecordsHeld
Indicates that an entity holds or has achieved one or more officially recognized world records.
-
E.
worldRecordCountry
Indicates that a country is the one in which a particular world record was achieved or is officially attributed.
- 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_69f76e879768819085c2fb31a6a5b44b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fedd5a5f4c8190acce88db56303703 |
completed | May 9, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_69fed910b31c8190ae837163d146738d |
completed | May 9, 2026, 6:49 a.m. |
Created at: May 3, 2026, 4:13 p.m.