Triple
T1143229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Medicines Agency |
E23502
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | EMA |
E23502
|
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: EMA | Statement: [European Medicines Agency, abbreviation, EMA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EMA Context triple: [European Medicines Agency, abbreviation, EMA]
-
A.
EMA
chosen
EMA is the European Union’s regulatory authority responsible for the scientific evaluation, supervision, and safety monitoring of medicines.
-
B.
ERM
ERM is the French-language abbreviation for Belgium’s Royal Military Academy, the country’s principal institution for training future officers of the armed forces.
-
C.
ERM
ERM is a European Union system designed to reduce exchange rate variability and achieve monetary stability in preparation for economic and monetary union.
-
D.
ME
ME is the two-letter ISO 3166-1 alpha-2 country code assigned to Montenegro.
-
E.
EI
EI is the two-letter IATA airline designator assigned to Aer Lingus, the flag carrier airline of Ireland.
- 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_69a4bc4e93d48190b9fea886bf61aad7 |
completed | March 1, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac5eb1f7d08190ba722dcbbc8a6799 |
completed | March 7, 2026, 5:21 p.m. |
Created at: March 1, 2026, 7:44 p.m.