Triple
T76939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | APRU |
E1537
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | APRU |
E1537
|
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: APRU | Statement: [APRU, abbreviation, APRU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: APRU Context triple: [APRU, abbreviation, APRU]
-
A.
APRU
chosen
APRU (Association of Pacific Rim Universities) is a consortium of leading research universities around the Pacific Rim that collaborates on education, research, and policy initiatives.
-
B.
AP-S
AP-S is the IEEE Antennas and Propagation Society, a leading professional organization focused on the theory, design, and application of antennas and the propagation of electromagnetic waves.
-
C.
ARC
ARC is the commonly used acronym for the Augmentation Research Center, a pioneering research group known for its early work on interactive computing and human–computer interaction.
-
D.
HUP
HUP is a major academic medical center in Philadelphia that serves as the flagship teaching hospital of the University of Pennsylvania's health system.
-
E.
PRR
PRR is the abbreviation commonly used for the Pennsylvania Railroad Company, once one of the largest and most influential railroads in the United States.
- 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_69a24c60d19c8190a1b6c105ca59ef5b |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a24f1d20b88190b66836cc018e52e1 |
completed | Feb. 28, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a255522b0081909f8a02667108a6d3 |
completed | Feb. 28, 2026, 2:39 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.