Triple
T1370394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Boxing Hall of Fame |
E30099
|
entity |
| Predicate | visitorFrequency |
P27025
|
FINISHED |
| Object | annual visitors from multiple countries |
—
|
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: annual visitors from multiple countries | Statement: [International Boxing Hall of Fame, visitorFrequency, annual visitors from multiple countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visitorFrequency Context triple: [International Boxing Hall of Fame, visitorFrequency, annual visitors from multiple countries]
-
A.
visitorCount
Indicates the number of visitors associated with a particular entity, context, or time period.
-
B.
frequentlyVisitedBy
Indicates that an entity is regularly or often visited by another entity.
-
C.
visitorStatus
Indicates the current state or condition of an entity in its role as a visitor (e.g., whether they are active, pending, past, or otherwise classified in their visit).
-
D.
visitedBy
Indicates that a location or entity is the destination or target of a visit performed by another entity.
-
E.
visitorRequirement
Indicates the conditions or criteria that must be met by a visitor in order to be allowed or accepted.
- 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_69a498f912008190a376a98b207b2071 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c2d7b6008190bc0303b56959ba56 |
completed | March 1, 2026, 10:51 p.m. |
| PD | Predicate disambiguation | batch_69a4befb08b88190be966fa1aadd4bcd |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4bfc2134c81909cbaaa151d96e9a8 |
completed | March 1, 2026, 10:37 p.m. |
Created at: March 1, 2026, 7:57 p.m.