Triple
T22240919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Satsuma |
E549719
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Mobile metropolitan area |
—
|
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: Mobile metropolitan area | Statement: [Satsuma, partOf, Mobile metropolitan area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mobile metropolitan area Context triple: [Satsuma, partOf, Mobile metropolitan area]
-
A.
Mobile metropolitan area
chosen
The Mobile metropolitan area is a regional urban and economic hub in southwestern Alabama centered on the city of Mobile and its surrounding counties.
-
B.
Mobile Networks
Mobile Networks is a Nokia business segment focused on providing mobile telecommunications infrastructure, technologies, and services for wireless network operators.
-
C.
Mobile Regional Airport
Mobile Regional Airport is a public airport serving commercial and general aviation traffic for the Mobile, Alabama metropolitan area.
-
D.
Mobile telecommunications
Mobile telecommunications is the technology and infrastructure that enable wireless voice, data, and multimedia communication over cellular networks for mobile devices.
-
E.
Public Mobile
Public Mobile is a Canadian prepaid wireless service provider offering low-cost, no-contract mobile plans primarily through online self-serve channels.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f132140ed481909ab0d4022756a4ba |
completed | April 28, 2026, 10:17 p.m. |
Created at: April 16, 2026, 8:38 p.m.