Triple
T18064442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CEACR |
E432260
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object | CEACR |
—
|
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: CEACR | Statement: [CEACR, acronym, CEACR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CEACR Context triple: [CEACR, acronym, CEACR]
-
A.
CEACR
chosen
CEACR is the International Labour Organization’s Committee of Experts that monitors and evaluates how countries apply and comply with ILO conventions and recommendations.
-
B.
CESAER
CESAER is a European association of leading universities of science and technology that collaborates to advance engineering education, research, and innovation.
-
C.
Dulbecco
Dulbecco is the surname of Renato Dulbecco, an Italian virologist and Nobel Prize laureate recognized for his pioneering work on the interaction between viruses and the genetic material of cells.
-
D.
CA-38
CA-38 is the hull classification symbol for USS San Francisco, a New Orleans-class heavy cruiser that saw extensive service with the U.S. Navy during World War II.
-
E.
HeLa
HeLa is an immortal human cell line derived from cervical cancer cells taken from Henrietta Lacks in 1951, widely used in biomedical research and pivotal to numerous scientific breakthroughs.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4cce74a0c81908375e3100c7578b8 |
completed | April 19, 2026, 12:39 p.m. |
Created at: April 10, 2026, 10:26 a.m.