Triple
T24425255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burroughs Wellcome Company |
E615836
|
entity |
| Predicate | researchFacilityLocation |
P11730
|
FINISHED |
| Object | Research Triangle Park, North Carolina |
—
|
NE NERFINISHED |
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: Research Triangle Park, North Carolina | Statement: [Burroughs Wellcome Company, researchFacilityLocation, Research Triangle Park, North Carolina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: researchFacilityLocation Context triple: [Burroughs Wellcome Company, researchFacilityLocation, Research Triangle Park, North Carolina]
-
A.
researchSite
Indicates that a location serves as a site where research or investigative studies are conducted or based.
-
B.
hasResearchCentersIn
chosen
Indicates that an entity maintains or operates research centers located within a specified place or region.
-
C.
locationOfFacility
Indicates that a facility is situated at or associated with a specific geographic location.
-
D.
trainingFacilityLocation
Indicates the place or site where a training facility is situated or operates.
-
E.
countryOfResearchInfrastructure
Indicates that a research infrastructure is located in, operated by, or formally associated with a particular country.
- 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_69e2d7eadb248190a867130fe45f0388 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f296a62644819089d01ec90e8bee3c |
completed | April 29, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69f287cc4fd4819081e93cc638d9512d |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:15 a.m.