Triple
T2504572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Spitz won seven gold medals in swimming |
E52547
|
entity |
| Predicate | eachEventRecordStatus |
P40839
|
FINISHED |
| Object | world record |
—
|
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: world record | Statement: [Mark Spitz won seven gold medals in swimming, eachEventRecordStatus, world record]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eachEventRecordStatus Context triple: [Mark Spitz won seven gold medals in swimming, eachEventRecordStatus, world record]
-
A.
historicalRecordStatus
Indicates the status or condition of a record within a historical or archival context (e.g., active, archived, revised, or obsolete).
-
B.
numberOfEvents
Indicates the quantity or count of events associated with a given entity or context.
-
C.
lastRecordedEvent
Indicates the most recent event that has been recorded for a given entity or context.
-
D.
hasEventDetail
Indicates that an event is associated with additional descriptive information or specific attributes that further characterize it.
-
E.
accessionEvent
Indicates the event or process by which an item is formally acquired, accepted, or added into a collection, system, or repository.
- 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_69ab4957b3a88190adf968ae0c1b931c |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd65d6a988190aaaac8e98540a14f |
completed | March 7, 2026, 7:40 a.m. |
| PD | Predicate disambiguation | batch_69abd0bd996c8190ba8b9d6e4333b8d4 |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd65c9d508190957285a078698ed2 |
completed | March 7, 2026, 7:40 a.m. |
Created at: March 6, 2026, 9:46 p.m.