Triple
T16919407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omega SA |
E410404
|
entity |
| Predicate | certificationAuthority |
P13210
|
FINISHED |
| Object | METAS |
E1165184
|
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: METAS | Statement: [Omega SA, certificationAuthority, METAS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: METAS Context triple: [Omega SA, certificationAuthority, METAS]
-
A.
METAS
chosen
METAS is Switzerland’s national metrology institute responsible for establishing and maintaining the country’s measurement standards and ensuring their international compatibility.
-
B.
META
META is a department in central Colombia known for its vast Llanos plains, cattle ranching, and oil production.
-
C.
MET
MET is the stock ticker symbol for MetLife, Inc., a major global provider of insurance, annuities, and employee benefit programs.
-
D.
MET
MET is the standard abbreviation used for the National Hockey League's Metropolitan Division.
-
E.
metz
Metz is a historic city in northeastern France known for its rich cultural heritage, Gothic Saint-Stephen Cathedral, and strategic location at the confluence of the Moselle and Seille rivers.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cded2f8481909a20cc08b47e922e |
completed | April 18, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7c2c9cc8190b6d59d0a8edd078d |
completed | May 10, 2026, 6 p.m. |
Created at: April 10, 2026, 5:30 a.m.