Triple
T35413381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meteor NF.13 |
E1023570
|
entity |
| Predicate | primaryUsersRegion |
P9666
|
FINISHED |
| Object | Middle East |
E2715
|
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: Middle East | Statement: [Meteor NF.13, primaryUsersRegion, Middle East]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryUsersRegion Context triple: [Meteor NF.13, primaryUsersRegion, Middle East]
-
A.
primaryRegionOfPopularity
chosen
Indicates the geographic region where something is most widely used, favored, or popular compared to other regions.
-
B.
primaryUseCountry
Indicates the country in which something is primarily used or most commonly utilized.
-
C.
countryOrRegionUsed
Indicates that something is used within, or applies to, a specific country or geographic region.
-
D.
exportRegion
Indicates the region or geographic area from which goods, services, or resources are exported.
-
E.
recipientRegion
Indicates the geographic region that receives or is the destination of a transfer, delivery, or directed action.
- F. None of above.
Provenance (4 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_69f76df54bac8190bd0d3b0eb35cda5f |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3836afd3b0819098091aeea9153b40 |
completed | June 21, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:03 p.m.