Triple
T1144138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BEL 20 |
E23524
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | BEL20 |
E23524
|
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: BEL20 | Statement: [BEL 20, abbreviation, BEL20]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BEL20 Context triple: [BEL 20, abbreviation, BEL20]
-
A.
BEL 20
chosen
The BEL 20 is the benchmark stock market index of Euronext Brussels, comprising the largest and most actively traded companies in Belgium.
-
B.
BEL
BEL is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Belgium in international standards and data systems.
-
C.
BESE
BESE is the acronym for the Massachusetts Board of Elementary and Secondary Education, the state body responsible for overseeing public K–12 education policy and standards in Massachusetts.
-
D.
BEAS
BEAS was the stock ticker symbol for BEA Systems, a software company best known for its enterprise middleware and WebLogic application server before being acquired by Oracle.
-
E.
BIE
BIE is a U.S. federal agency within the Department of the Interior responsible for providing and overseeing education services for Native American students in schools on or near reservations.
- 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_69a493ef399c8190b04b9146d2314f59 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc5008d8819095c1ffb5db5b4911 |
completed | March 1, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac59b31ed08190a1647af9af1f2648 |
completed | March 7, 2026, 5 p.m. |
Created at: March 1, 2026, 7:44 p.m.