Triple
T4752467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Campus |
E105508
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Raleigh |
E18109
|
NE 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: Raleigh | Statement: [North Campus, city, Raleigh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raleigh Context triple: [North Campus, city, Raleigh]
-
A.
Raleigh
chosen
Raleigh is the capital city of North Carolina and a major hub for education, technology, and research within the state’s Research Triangle region.
-
B.
Raleigh
Raleigh is a small town located in Raleigh County, West Virginia, known primarily as a local residential and community center within the county.
-
C.
Charlotte, North Carolina
Charlotte, North Carolina is the largest city in the state and a major U.S. financial and commercial hub known for hosting numerous corporate headquarters and a rapidly growing metropolitan area.
-
D.
Charlotte
Charlotte is a feminine given name of French and English origin, traditionally used as the female form of Charles and borne by numerous queens, nobles, and notable figures.
-
E.
Charlotte
Charlotte is a royal figure bearing the traditional title of Princess Royal, historically associated with the eldest daughter of the British monarch.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd43f07fa48190954317d01600994a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64e5fba88190b1f28d1b0eed3f8e |
completed | March 20, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea4623ae881908f5dac4eaa56f91d |
completed | March 21, 2026, 2 p.m. |
Created at: March 20, 2026, 1:20 p.m.