Triple
T23046100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | YC Core program |
E573880
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | United States (based) |
—
|
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: United States (based) | Statement: [YC Core program, region, United States (based)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: United States (based) Context triple: [YC Core program, region, United States (based)]
-
A.
USA
USA is the three-letter International Olympic Committee country code representing the United States of America in international sporting events.
-
B.
USA
USA is a public research university located in Mobile, Alabama, known for its diverse academic programs and regional impact in the Gulf Coast area.
-
C.
United States of America
chosen
The United States of America is a large federal republic in North America known for its global political, economic, military, and cultural influence.
-
D.
US
US is the commonly used abbreviation for the University of Szczecin, a public higher education institution in Szczecin, Poland.
-
E.
US
US is the IATA airline designator code assigned to the former American airline US Airways.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b9c11481909d06c872214d21af |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f185192754819093a87d23371e7bbc |
completed | April 29, 2026, 4:12 a.m. |
Created at: April 17, 2026, 3:54 p.m.