Triple
T4576335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Republic of China (Taiwan) |
E123148
|
entity |
| Predicate | commonAbbreviation |
P8075
|
FINISHED |
| Object | ROC |
E123147
|
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: ROC | Statement: [Republic of China (Taiwan), commonAbbreviation, ROC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ROC Context triple: [Republic of China (Taiwan), commonAbbreviation, ROC]
-
A.
ROC
ROC is the commonly used abbreviation for the Royal Observer Corps, a former British civil defense organization that monitored aircraft and nuclear explosions during the 20th century.
-
B.
ROC
chosen
ROC is an abbreviation commonly used to refer to the Republic of China, the government that currently administers Taiwan and a few surrounding islands.
-
C.
AUC
AUC is a leading English-language, American-accredited liberal arts university based in Cairo, Egypt, known for its strong programs in the humanities, social sciences, and business.
-
D.
AUC
AUC is a consortium of historically Black colleges and universities in Atlanta, Georgia, including institutions such as Spelman College, Morehouse College, and Clark Atlanta University.
-
E.
randomForest
randomForest is an R package that implements Breiman’s random forest algorithm for classification and regression using ensembles of decision trees.
- 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_69bd46466c7081909d07f36be2d08804 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd58dfe3508190b21836079e951a3c |
completed | March 20, 2026, 2:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bde08756548190bb8433854c3efe01 |
completed | March 21, 2026, 12:04 a.m. |
Created at: March 20, 2026, 1:10 p.m.