Triple
T27616228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EMV |
E700443
|
entity |
| Predicate | firstDeploymentRegion |
P40433
|
FINISHED |
| Object | Europe |
—
|
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: Europe | Statement: [EMV, firstDeploymentRegion, Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstDeploymentRegion Context triple: [EMV, firstDeploymentRegion, Europe]
-
A.
firstReleaseRegion
chosen
Indicates the geographic region or market where something (such as a product, work, or release) was first made publicly available.
-
B.
firstForRegion
Indicates that something is the earliest or primary instance of its kind within a specified region.
-
C.
geographicDeployment
Indicates how something is distributed, implemented, or present across different geographic locations or regions.
-
D.
primaryDeployment
Indicates that one deployment is designated as the main or most important deployment among multiple possible deployments for an entity.
-
E.
endpointRegion
Indicates that one entity serves as the geographic or logical region in which the other entity’s endpoint is located or configured.
- F. None of above.
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_69ef6a4f1d9c8190b0705acda054368d |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69ff32b88bf48190b45afd1b60cb511c |
completed | May 9, 2026, 1:12 p.m. |
| PD | Predicate disambiguation | batch_69ff3031e18881908927b2ab452de863 |
completed | May 9, 2026, 1:01 p.m. |
Created at: April 27, 2026, 2:12 p.m.