Triple
T2085214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orange County, North Carolina |
E45332
|
entity |
| Predicate | isPartOfResearchTriangle |
P35720
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Orange County, North Carolina, isPartOfResearchTriangle, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfResearchTriangle Context triple: [Orange County, North Carolina, isPartOfResearchTriangle, yes]
-
A.
hasResearchCentersIn
Indicates that an entity maintains or operates research centers located within a specified place or region.
-
B.
isCollegeTownOf
Indicates that a town or city is primarily known for and significantly shaped by the presence of a particular college or university.
-
C.
isResearchUniversity
Indicates that an institution functions primarily as a research-focused university, emphasizing the creation of new knowledge alongside advanced education.
-
D.
isSouthernBranchOf
Indicates that one entity functions as the southern subdivision or regional branch of another, larger organization or structure.
-
E.
isCommuterRegionFor
Indicates that one region primarily serves as a residential base whose inhabitants regularly travel to another region for work or daily activities.
- 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_69a8891869c88190a02643e3bb746f59 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abba53d4488190a7d9eabcb6904e8e |
completed | March 7, 2026, 5:40 a.m. |
| PD | Predicate disambiguation | batch_69abb7b298a48190b4bdf7c9800b058d |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb94ec400819097596732aabed854 |
completed | March 7, 2026, 5:36 a.m. |
Created at: March 4, 2026, 7:41 p.m.