Triple
T13657758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rod Library |
E326905
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | UNI Rod Library |
E326905
|
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: UNI Rod Library | Statement: [Rod Library, abbreviation, UNI Rod Library]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UNI Rod Library Context triple: [Rod Library, abbreviation, UNI Rod Library]
-
A.
RODN
RODN is the ICAO airport code for Kadena Air Base, a major United States Air Force installation on Okinawa, Japan.
-
B.
Radox
Radox is a well-known personal care brand, particularly recognized for its bath and shower products such as bubble baths and shower gels.
-
C.
Rod Library
chosen
Rod Library is the main academic library of the University of Northern Iowa, providing research resources, study spaces, and information services to students and faculty.
-
D.
Roden
Roden is a town in the Dutch province of Drenthe known as a local service and population center within the municipality of Noordenveld.
-
E.
Roden
Roden is a Czech surname most notably borne by actor Karel Roden, known for his work in both Czech and international films.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc61d56e4819084ae3c16ecdf4a05 |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78b06c5d081909d31b8a537c94edb |
completed | May 3, 2026, 5:51 p.m. |
Created at: April 9, 2026, 9:52 p.m.