Triple
T7664653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pearson VUE |
E173595
|
entity |
| Predicate | hasCompetitor |
P1375
|
FINISHED |
| Object | ETS |
E13804
|
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: ETS | Statement: [Pearson VUE, hasCompetitor, ETS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ETS Context triple: [Pearson VUE, hasCompetitor, ETS]
-
A.
ETS
chosen
ETS is a nonprofit organization that develops and administers standardized tests and assessments used worldwide for education, certification, and professional licensing.
-
B.
ETS
ETS is the abbreviation for the Educational and Training Services Branch, a unit responsible for developing and delivering education and training programs.
-
C.
ESS
ESS is the commonly used abbreviation for the European Standardization System, the framework through which European standards are developed and harmonized.
-
D.
EPS
EPS is the abbreviation for UC Berkeley’s Department of Earth and Planetary Science, which focuses on research and education in geology, geophysics, and planetary sciences.
-
E.
ATS
ATS is a North American accrediting and membership organization for graduate schools of theology and ministry.
- 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_69c699562484819086752091e3164a27 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701bfb67c81908b416802eaf0faac |
completed | March 27, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89b1fdccc8190a69b4745dc3b2347 |
completed | March 29, 2026, 3:23 a.m. |
Created at: March 27, 2026, 4 p.m.