Triple
T10269946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mathematical Sciences Research Institute |
E240806
|
entity |
| Predicate | hasGlobalVisitors |
P75569
|
FINISHED |
| Object | mathematicians from around the world |
—
|
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: mathematicians from around the world | Statement: [Mathematical Sciences Research Institute, hasGlobalVisitors, mathematicians from around the world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGlobalVisitors Context triple: [Mathematical Sciences Research Institute, hasGlobalVisitors, mathematicians from around the world]
-
A.
hasVisitorsFrom
chosen
Indicates that an entity receives or has received visitors originating from another specified entity or location.
-
B.
hasTouristVisits
Indicates that one entity experiences or records visits from tourists to another entity.
-
C.
hasVisitorType
Indicates the type or category of visitor associated with an entity (e.g., guest, customer, tourist, patient).
-
D.
hasVisitorServices
Indicates that an entity provides services or facilities specifically intended for visitors or guests.
-
E.
hasVisitorBuilding
Indicates that a particular building serves as a designated visitor facility or is intended for use by visitors.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2872830819080fdfa816167d04c |
completed | April 7, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69d4d1ef6e6c81908a8ee52e4d28127b |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:35 a.m.